---
_id: '40766'
abstract:
- lang: eng
text: Amplitude-to-amplitude interactions between neural oscillations are of a special
interest as they show how the strength of spatial synchronization in different
neuronal populations relates to each other during a given task. While, previously,
amplitude-to-amplitude correlations were studied primarily on the sensor level,
we present a source separation approach using spatial filters which maximize the
correlation between the envelopes of brain oscillations recorded with electro-/magnetencephalography
(EEG/MEG) or intracranial multichannel recordings. Our approach, which is called
canonical source power correlation analysis (cSPoC), is thereby capable of extracting
genuine brain oscillations solely based on their assumed coupling behavior even
when the signal-to-noise ratio of the signals is low.
author:
- first_name: S.
full_name: Dähne, S.
last_name: Dähne
- first_name: V. V.
full_name: Nikulin, V. V.
last_name: Nikulin
- first_name: D.
full_name: Ramírez, D.
last_name: Ramírez
- first_name: P. J.
full_name: Schreier, P. J.
last_name: Schreier
- first_name: K.-R.
full_name: Müller, K.-R.
last_name: Müller
- first_name: S.
full_name: Haufe, S.
last_name: Haufe
citation:
ama: 'Dähne S, Nikulin VV, Ramírez D, Schreier PJ, Müller K-R, Haufe S. Optimizing
spatial filters for the extraction of envelope-coupled neural oscillations. In:
Proc. Int. Work. Pattern Recognition In Neuroimaging. ; 2014. doi:10.1109/PRNI.2014.6858514'
apa: Dähne, S., Nikulin, V. V., Ramírez, D., Schreier, P. J., Müller, K.-R., &
Haufe, S. (2014). Optimizing spatial filters for the extraction of envelope-coupled
neural oscillations. Proc. Int. Work. Pattern Recognition In Neuroimaging.
https://doi.org/10.1109/PRNI.2014.6858514
bibtex: '@inproceedings{Dähne_Nikulin_Ramírez_Schreier_Müller_Haufe_2014, place={Tübingen,
Germany}, title={Optimizing spatial filters for the extraction of envelope-coupled
neural oscillations}, DOI={10.1109/PRNI.2014.6858514},
booktitle={Proc. Int. Work. Pattern Recognition In Neuroimaging}, author={Dähne,
S. and Nikulin, V. V. and Ramírez, D. and Schreier, P. J. and Müller, K.-R. and
Haufe, S.}, year={2014} }'
chicago: Dähne, S., V. V. Nikulin, D. Ramírez, P. J. Schreier, K.-R. Müller, and
S. Haufe. “Optimizing Spatial Filters for the Extraction of Envelope-Coupled Neural
Oscillations.” In Proc. Int. Work. Pattern Recognition In Neuroimaging.
Tübingen, Germany, 2014. https://doi.org/10.1109/PRNI.2014.6858514.
ieee: 'S. Dähne, V. V. Nikulin, D. Ramírez, P. J. Schreier, K.-R. Müller, and S.
Haufe, “Optimizing spatial filters for the extraction of envelope-coupled neural
oscillations,” 2014, doi: 10.1109/PRNI.2014.6858514.'
mla: Dähne, S., et al. “Optimizing Spatial Filters for the Extraction of Envelope-Coupled
Neural Oscillations.” Proc. Int. Work. Pattern Recognition In Neuroimaging,
2014, doi:10.1109/PRNI.2014.6858514.
short: 'S. Dähne, V.V. Nikulin, D. Ramírez, P.J. Schreier, K.-R. Müller, S. Haufe,
in: Proc. Int. Work. Pattern Recognition In Neuroimaging, Tübingen, Germany, 2014.'
date_created: 2023-01-30T11:51:49Z
date_updated: 2023-01-30T11:58:58Z
department:
- _id: '263'
doi: 10.1109/PRNI.2014.6858514
place: Tübingen, Germany
publication: Proc. Int. Work. Pattern Recognition In Neuroimaging
status: public
title: Optimizing spatial filters for the extraction of envelope-coupled neural oscillations
type: conference
user_id: '43497'
year: '2014'
...
---
_id: '40775'
abstract:
- lang: eng
text: The separation of a complex mixture based solely on second-order statistics
can be achieved using the Strong Uncorrelating Transform (SUT) if and only if
all sources have distinct circularity coefficients. However, in most problems
we do not know the circularity coefficients, and they must be estimated from observed
data. In this work, we propose a detector, based on the generalized likelihood
ratio test (GLRT), to test the separability of a complex Gaussian mixture using
the SUT. For the separable case (distinct circularity coefficients), the maximum
likelihood (ML) estimates are straightforward. On the other hand, for the non-separable
case (at least one circularity coefficient has multiplicity greater than one),
the ML estimates are much more difficult to obtain. To set the threshold, we exploit
Wilks’ theorem, which gives the asymptotic distribution of the GLRT under the
null hypothesis. Finally, numerical simulations show the good performance of the
proposed detector and the accuracy of Wilks’ approximation.
author:
- first_name: D.
full_name: Ramírez, D.
last_name: Ramírez
- first_name: P. J.
full_name: Schreier, P. J.
last_name: Schreier
- first_name: J.
full_name: Vía, J.
last_name: Vía
- first_name: I.
full_name: Santamaría, I.
last_name: Santamaría
citation:
ama: Ramírez D, Schreier PJ, Vía J, Santamaría I. Testing blind separability of
complex Gaussian mixtures. Signal Process. 2014;95:49–57. doi:10.1016/j.sigpro.2013.08.010
apa: Ramírez, D., Schreier, P. J., Vía, J., & Santamaría, I. (2014). Testing
blind separability of complex Gaussian mixtures. Signal Process., 95,
49–57. https://doi.org/10.1016/j.sigpro.2013.08.010
bibtex: '@article{Ramírez_Schreier_Vía_Santamaría_2014, title={Testing blind separability
of complex Gaussian mixtures}, volume={95}, DOI={10.1016/j.sigpro.2013.08.010},
journal={Signal Process.}, author={Ramírez, D. and Schreier, P. J. and Vía, J.
and Santamaría, I.}, year={2014}, pages={49–57} }'
chicago: 'Ramírez, D., P. J. Schreier, J. Vía, and I. Santamaría. “Testing Blind
Separability of Complex Gaussian Mixtures.” Signal Process. 95 (2014):
49–57. https://doi.org/10.1016/j.sigpro.2013.08.010.'
ieee: 'D. Ramírez, P. J. Schreier, J. Vía, and I. Santamaría, “Testing blind separability
of complex Gaussian mixtures,” Signal Process., vol. 95, pp. 49–57, 2014,
doi: 10.1016/j.sigpro.2013.08.010.'
mla: Ramírez, D., et al. “Testing Blind Separability of Complex Gaussian Mixtures.”
Signal Process., vol. 95, 2014, pp. 49–57, doi:10.1016/j.sigpro.2013.08.010.
short: D. Ramírez, P.J. Schreier, J. Vía, I. Santamaría, Signal Process. 95 (2014)
49–57.
date_created: 2023-01-30T11:51:50Z
date_updated: 2023-01-30T11:59:41Z
department:
- _id: '263'
doi: 10.1016/j.sigpro.2013.08.010
intvolume: ' 95'
page: 49–57
publication: Signal Process.
status: public
title: Testing blind separability of complex Gaussian mixtures
type: journal_article
user_id: '43497'
volume: 95
year: '2014'
...
---
_id: '40771'
author:
- first_name: J.
full_name: Manco-Vásquez, J.
last_name: Manco-Vásquez
- first_name: M.
full_name: Lázaro-Gredilla, M.
last_name: Lázaro-Gredilla
- first_name: D.
full_name: Ramírez, D.
last_name: Ramírez
- first_name: J.
full_name: Vía, J.
last_name: Vía
- first_name: I.
full_name: Santamaría, I.
last_name: Santamaría
citation:
ama: Manco-Vásquez J, Lázaro-Gredilla M, Ramírez D, Vía J, Santamaría I. A Bayesian
approach for adaptive multiantenna sensing in cognitive radio networks. Signal
Process. 2014;96, Part B:228–240. doi:10.1016/j.sigpro.2013.10.005
apa: Manco-Vásquez, J., Lázaro-Gredilla, M., Ramírez, D., Vía, J., & Santamaría,
I. (2014). A Bayesian approach for adaptive multiantenna sensing in cognitive
radio networks. Signal Process., 96, Part B, 228–240. https://doi.org/10.1016/j.sigpro.2013.10.005
bibtex: '@article{Manco-Vásquez_Lázaro-Gredilla_Ramírez_Vía_Santamaría_2014, title={A
Bayesian approach for adaptive multiantenna sensing in cognitive radio networks},
volume={96, Part B}, DOI={10.1016/j.sigpro.2013.10.005},
journal={Signal Process.}, author={Manco-Vásquez, J. and Lázaro-Gredilla, M. and
Ramírez, D. and Vía, J. and Santamaría, I.}, year={2014}, pages={228–240} }'
chicago: 'Manco-Vásquez, J., M. Lázaro-Gredilla, D. Ramírez, J. Vía, and I. Santamaría.
“A Bayesian Approach for Adaptive Multiantenna Sensing in Cognitive Radio Networks.”
Signal Process. 96, Part B (2014): 228–240. https://doi.org/10.1016/j.sigpro.2013.10.005.'
ieee: 'J. Manco-Vásquez, M. Lázaro-Gredilla, D. Ramírez, J. Vía, and I. Santamaría,
“A Bayesian approach for adaptive multiantenna sensing in cognitive radio networks,”
Signal Process., vol. 96, Part B, pp. 228–240, 2014, doi: 10.1016/j.sigpro.2013.10.005.'
mla: Manco-Vásquez, J., et al. “A Bayesian Approach for Adaptive Multiantenna Sensing
in Cognitive Radio Networks.” Signal Process., vol. 96, Part B, 2014, pp.
228–240, doi:10.1016/j.sigpro.2013.10.005.
short: J. Manco-Vásquez, M. Lázaro-Gredilla, D. Ramírez, J. Vía, I. Santamaría,
Signal Process. 96, Part B (2014) 228–240.
date_created: 2023-01-30T11:51:50Z
date_updated: 2023-01-30T11:59:39Z
department:
- _id: '263'
doi: 10.1016/j.sigpro.2013.10.005
page: 228–240
publication: Signal Process.
status: public
title: A Bayesian approach for adaptive multiantenna sensing in cognitive radio networks
type: journal_article
user_id: '43497'
volume: 96, Part B
year: '2014'
...
---
_id: '40770'
author:
- first_name: Manuel
full_name: Stein, Manuel
last_name: Stein
- first_name: Andreas
full_name: Lenz, Andreas
last_name: Lenz
- first_name: Amine
full_name: Mezghani, Amine
last_name: Mezghani
- first_name: Josef A.
full_name: Nossek, Josef A.
last_name: Nossek
citation:
ama: 'Stein M, Lenz A, Mezghani A, Nossek JA. Optimum analog receive filters for
detection and inference under a sampling rate constraint. In: Proc.\ IEEE Int.\
Conf.\ Acoustics, Speech and Signal Process. ; 2014.'
apa: Stein, M., Lenz, A., Mezghani, A., & Nossek, J. A. (2014). Optimum analog
receive filters for detection and inference under a sampling rate constraint.
Proc.\ IEEE Int.\ Conf.\ Acoustics, Speech and Signal Process.
bibtex: '@inproceedings{Stein_Lenz_Mezghani_Nossek_2014, place={Florence, Italy},
title={Optimum analog receive filters for detection and inference under a sampling
rate constraint}, booktitle={Proc.\ IEEE Int.\ Conf.\ Acoustics, Speech and Signal
Process.}, author={Stein, Manuel and Lenz, Andreas and Mezghani, Amine and Nossek,
Josef A.}, year={2014} }'
chicago: Stein, Manuel, Andreas Lenz, Amine Mezghani, and Josef A. Nossek. “Optimum
Analog Receive Filters for Detection and Inference under a Sampling Rate Constraint.”
In Proc.\ IEEE Int.\ Conf.\ Acoustics, Speech and Signal Process. Florence,
Italy, 2014.
ieee: M. Stein, A. Lenz, A. Mezghani, and J. A. Nossek, “Optimum analog receive
filters for detection and inference under a sampling rate constraint,” 2014.
mla: Stein, Manuel, et al. “Optimum Analog Receive Filters for Detection and Inference
under a Sampling Rate Constraint.” Proc.\ IEEE Int.\ Conf.\ Acoustics, Speech
and Signal Process., 2014.
short: 'M. Stein, A. Lenz, A. Mezghani, J.A. Nossek, in: Proc.\ IEEE Int.\ Conf.\
Acoustics, Speech and Signal Process., Florence, Italy, 2014.'
date_created: 2023-01-30T11:51:49Z
date_updated: 2023-01-30T11:59:00Z
department:
- _id: '263'
place: Florence, Italy
publication: Proc.\ IEEE Int.\ Conf.\ Acoustics, Speech and Signal Process.
status: public
title: Optimum analog receive filters for detection and inference under a sampling
rate constraint
type: conference
user_id: '43497'
year: '2014'
...
---
_id: '40772'
author:
- first_name: Christian
full_name: Lameiro, Christian
last_name: Lameiro
- first_name: Wolfgang
full_name: Utschick, Wolfgang
last_name: Utschick
- first_name: Ignacio
full_name: Santamaría, Ignacio
last_name: Santamaría
citation:
ama: 'Lameiro C, Utschick W, Santamaría I. Spatial Shaping and Precoding Design
for Underlay MIMO Interference Channels. In: Proc. Int. ITG Work. Smart Antennas.
; 2014.'
apa: Lameiro, C., Utschick, W., & Santamaría, I. (2014). Spatial Shaping and
Precoding Design for Underlay MIMO Interference Channels. Proc. Int. ITG Work.
Smart Antennas.
bibtex: '@inproceedings{Lameiro_Utschick_Santamaría_2014, place={Erlangen, Germany},
title={Spatial Shaping and Precoding Design for Underlay MIMO Interference Channels},
booktitle={Proc. Int. ITG Work. Smart Antennas}, author={Lameiro, Christian and
Utschick, Wolfgang and Santamaría, Ignacio}, year={2014} }'
chicago: Lameiro, Christian, Wolfgang Utschick, and Ignacio Santamaría. “Spatial
Shaping and Precoding Design for Underlay MIMO Interference Channels.” In Proc.
Int. ITG Work. Smart Antennas. Erlangen, Germany, 2014.
ieee: C. Lameiro, W. Utschick, and I. Santamaría, “Spatial Shaping and Precoding
Design for Underlay MIMO Interference Channels,” 2014.
mla: Lameiro, Christian, et al. “Spatial Shaping and Precoding Design for Underlay
MIMO Interference Channels.” Proc. Int. ITG Work. Smart Antennas, 2014.
short: 'C. Lameiro, W. Utschick, I. Santamaría, in: Proc. Int. ITG Work. Smart Antennas,
Erlangen, Germany, 2014.'
date_created: 2023-01-30T11:51:50Z
date_updated: 2023-01-30T11:59:12Z
department:
- _id: '263'
place: Erlangen, Germany
publication: Proc. Int. ITG Work. Smart Antennas
status: public
title: Spatial Shaping and Precoding Design for Underlay MIMO Interference Channels
type: conference
user_id: '43497'
year: '2014'
...
---
_id: '40773'
author:
- first_name: Manuel
full_name: Stein, Manuel
last_name: Stein
- first_name: Mario
full_name: Castañeda, Mario
last_name: Castañeda
- first_name: Josef A.
full_name: Nossek, Josef A.
last_name: Nossek
citation:
ama: 'Stein M, Castañeda M, Nossek JA. Information-preserving spatial filtering
for direction-of-arrival estimation. In: Proc.\ ITG Int.\ Work. Smart Ant.
; 2014.'
apa: Stein, M., Castañeda, M., & Nossek, J. A. (2014). Information-preserving
spatial filtering for direction-of-arrival estimation. Proc.\ ITG Int.\ Work.
Smart Ant.
bibtex: '@inproceedings{Stein_Castañeda_Nossek_2014, place={Erlangen, Germany},
title={Information-preserving spatial filtering for direction-of-arrival estimation},
booktitle={Proc.\ ITG Int.\ Work. Smart Ant.}, author={Stein, Manuel and Castañeda,
Mario and Nossek, Josef A.}, year={2014} }'
chicago: Stein, Manuel, Mario Castañeda, and Josef A. Nossek. “Information-Preserving
Spatial Filtering for Direction-of-Arrival Estimation.” In Proc.\ ITG Int.\
Work. Smart Ant. Erlangen, Germany, 2014.
ieee: M. Stein, M. Castañeda, and J. A. Nossek, “Information-preserving spatial
filtering for direction-of-arrival estimation,” 2014.
mla: Stein, Manuel, et al. “Information-Preserving Spatial Filtering for Direction-of-Arrival
Estimation.” Proc.\ ITG Int.\ Work. Smart Ant., 2014.
short: 'M. Stein, M. Castañeda, J.A. Nossek, in: Proc.\ ITG Int.\ Work. Smart Ant.,
Erlangen, Germany, 2014.'
date_created: 2023-01-30T11:51:50Z
date_updated: 2023-01-30T11:59:09Z
department:
- _id: '263'
place: Erlangen, Germany
publication: Proc.\ ITG Int.\ Work. Smart Ant.
status: public
title: Information-preserving spatial filtering for direction-of-arrival estimation
type: conference
user_id: '43497'
year: '2014'
...
---
_id: '40776'
author:
- first_name: Peter J.
full_name: Schreier, Peter J.
last_name: Schreier
citation:
ama: Schreier PJ. Neue Anwendungsgebiete für Computer Assisted Surgery (CAS). ForschungsForum
Paderborn. 2014;17:24–30.
apa: Schreier, P. J. (2014). Neue Anwendungsgebiete für Computer Assisted Surgery
(CAS). ForschungsForum Paderborn, 17, 24–30.
bibtex: '@article{Schreier_2014, title={Neue Anwendungsgebiete für Computer Assisted
Surgery (CAS)}, volume={17}, journal={ForschungsForum Paderborn}, author={Schreier,
Peter J.}, year={2014}, pages={24–30} }'
chicago: 'Schreier, Peter J. “Neue Anwendungsgebiete Für Computer Assisted Surgery
(CAS).” ForschungsForum Paderborn 17 (2014): 24–30.'
ieee: P. J. Schreier, “Neue Anwendungsgebiete für Computer Assisted Surgery (CAS),”
ForschungsForum Paderborn, vol. 17, pp. 24–30, 2014.
mla: Schreier, Peter J. “Neue Anwendungsgebiete Für Computer Assisted Surgery (CAS).”
ForschungsForum Paderborn, vol. 17, 2014, pp. 24–30.
short: P.J. Schreier, ForschungsForum Paderborn 17 (2014) 24–30.
date_created: 2023-01-30T11:51:50Z
date_updated: 2023-01-30T11:59:07Z
department:
- _id: '263'
intvolume: ' 17'
page: 24–30
publication: ForschungsForum Paderborn
status: public
title: Neue Anwendungsgebiete für Computer Assisted Surgery (CAS)
type: journal_article
user_id: '43497'
volume: 17
year: '2014'
...
---
_id: '40774'
author:
- first_name: Manuel
full_name: Stein, Manuel
last_name: Stein
- first_name: Josef A.
full_name: Nossek, Josef A.
last_name: Nossek
citation:
ama: 'Stein M, Nossek JA. Will the 1-bit GNSS receiver prevail? In: Proc. of
IEEE/ION PLANS 2014. ; 2014.'
apa: Stein, M., & Nossek, J. A. (2014). Will the 1-bit GNSS receiver prevail?
Proc. of IEEE/ION PLANS 2014.
bibtex: '@inproceedings{Stein_Nossek_2014, place={Monterey, USA}, title={Will the
1-bit GNSS receiver prevail?}, booktitle={Proc. of IEEE/ION PLANS 2014}, author={Stein,
Manuel and Nossek, Josef A.}, year={2014} }'
chicago: Stein, Manuel, and Josef A. Nossek. “Will the 1-Bit GNSS Receiver Prevail?”
In Proc. of IEEE/ION PLANS 2014. Monterey, USA, 2014.
ieee: M. Stein and J. A. Nossek, “Will the 1-bit GNSS receiver prevail?,” 2014.
mla: Stein, Manuel, and Josef A. Nossek. “Will the 1-Bit GNSS Receiver Prevail?”
Proc. of IEEE/ION PLANS 2014, 2014.
short: 'M. Stein, J.A. Nossek, in: Proc. of IEEE/ION PLANS 2014, Monterey, USA,
2014.'
date_created: 2023-01-30T11:51:50Z
date_updated: 2023-01-30T11:59:05Z
department:
- _id: '263'
place: Monterey, USA
publication: Proc. of IEEE/ION PLANS 2014
status: public
title: Will the 1-bit GNSS receiver prevail?
type: conference
user_id: '43497'
year: '2014'
...
---
_id: '40768'
abstract:
- lang: eng
text: We derive the generalized likelihood ratio test (GLRT) for detecting cyclostationarity
in scalar-valued time series. The main idea behind our approach is Gladyshev’s
relationship, which states that when the scalar-valued cyclostationary sig- nal
is blocked at the known cycle period it produces a vector- valued wide-sense stationary
process. This result amounts to saying that the covariance matrix of the vector
obtained by stacking all observations of the time series is block-Toeplitz if
the signal is cyclostationary, and Toeplitz if the signal is wide- sense stationary.
The derivation of the GLRT requires the maximum likelihood estimates of Toeplitz
and block-Toeplitz matrices. This can be managed asymptotically (for large num-
berofsamples)exploitingSzego ̈’stheoremanditsgeneraliza- tion for vector-valued
processes. Simulation results show the good performance of the proposed GLRT.
author:
- first_name: D.
full_name: Ramírez, D.
last_name: Ramírez
- first_name: L. L.
full_name: Scharf, L. L.
last_name: Scharf
- first_name: J.
full_name: Vía, J.
last_name: Vía
- first_name: I.
full_name: Santamaría, I.
last_name: Santamaría
- first_name: P. J.
full_name: Schreier, P. J.
last_name: Schreier
citation:
ama: 'Ramírez D, Scharf LL, Vía J, Santamaría I, Schreier PJ. An asymptotic GLRT
for the detection of cyclostationary signals. In: Proc.\ IEEE Int.\ Conf.\
Acoustics, Speech and Signal Process. ; 2014. doi:10.1109/ICASSP.2014.6854234'
apa: Ramírez, D., Scharf, L. L., Vía, J., Santamaría, I., & Schreier, P. J.
(2014). An asymptotic GLRT for the detection of cyclostationary signals. Proc.\
IEEE Int.\ Conf.\ Acoustics, Speech and Signal Process. https://doi.org/10.1109/ICASSP.2014.6854234
bibtex: '@inproceedings{Ramírez_Scharf_Vía_Santamaría_Schreier_2014, place={Florence,
Italy}, title={An asymptotic GLRT for the detection of cyclostationary signals},
DOI={10.1109/ICASSP.2014.6854234},
booktitle={Proc.\ IEEE Int.\ Conf.\ Acoustics, Speech and Signal Process.}, author={Ramírez,
D. and Scharf, L. L. and Vía, J. and Santamaría, I. and Schreier, P. J.}, year={2014}
}'
chicago: Ramírez, D., L. L. Scharf, J. Vía, I. Santamaría, and P. J. Schreier. “An
Asymptotic GLRT for the Detection of Cyclostationary Signals.” In Proc.\ IEEE
Int.\ Conf.\ Acoustics, Speech and Signal Process. Florence, Italy, 2014.
https://doi.org/10.1109/ICASSP.2014.6854234.
ieee: 'D. Ramírez, L. L. Scharf, J. Vía, I. Santamaría, and P. J. Schreier, “An
asymptotic GLRT for the detection of cyclostationary signals,” 2014, doi: 10.1109/ICASSP.2014.6854234.'
mla: Ramírez, D., et al. “An Asymptotic GLRT for the Detection of Cyclostationary
Signals.” Proc.\ IEEE Int.\ Conf.\ Acoustics, Speech and Signal Process.,
2014, doi:10.1109/ICASSP.2014.6854234.
short: 'D. Ramírez, L.L. Scharf, J. Vía, I. Santamaría, P.J. Schreier, in: Proc.\
IEEE Int.\ Conf.\ Acoustics, Speech and Signal Process., Florence, Italy, 2014.'
date_created: 2023-01-30T11:51:49Z
date_updated: 2023-01-30T12:00:53Z
department:
- _id: '263'
doi: 10.1109/ICASSP.2014.6854234
place: Florence, Italy
publication: Proc.\ IEEE Int.\ Conf.\ Acoustics, Speech and Signal Process.
status: public
title: An asymptotic GLRT for the detection of cyclostationary signals
type: conference
user_id: '43497'
year: '2014'
...
---
_id: '40767'
abstract:
- lang: eng
text: Successive interference cancellation (SIC) has been extensively applied to
estimate transmit signals in communication systems. When the channel state information
(CSI) and noise statistics are imperfectly estimated, the standard SIC estimators
that ignore the model mismatch may perform poorly. This paper introduces regularized
SIC estimation to provide robustness against the model mismatch. Suboptimal, low-complexity
implementations using (sorted) QR decomposition and approximate choice of regularization
parameters are also introduced. Simulation examples demonstrate that the regularized
SIC estimators can significantly outperform the standard version.
author:
- first_name: Jun
full_name: Tong, Jun
last_name: Tong
- first_name: Qinghua
full_name: Guo, Qinghua
last_name: Guo
- first_name: Peter J.
full_name: Schreier, Peter J.
last_name: Schreier
- first_name: Jiangtao
full_name: Xi, Jiangtao
last_name: Xi
citation:
ama: 'Tong J, Guo Q, Schreier PJ, Xi J. Regularized successive interference cancellation
(SIC) under mismatched modeling. In: Proc.\ IEEE Work.\ Stat.\ Signal Process.
; 2014. doi:10.1109/SSP.2014.6884642'
apa: Tong, J., Guo, Q., Schreier, P. J., & Xi, J. (2014). Regularized successive
interference cancellation (SIC) under mismatched modeling. Proc.\ IEEE Work.\
Stat.\ Signal Process. https://doi.org/10.1109/SSP.2014.6884642
bibtex: '@inproceedings{Tong_Guo_Schreier_Xi_2014, place={Gold Coast, Australia},
title={Regularized successive interference cancellation (SIC) under mismatched
modeling}, DOI={10.1109/SSP.2014.6884642},
booktitle={Proc.\ IEEE Work.\ Stat.\ Signal Process.}, author={Tong, Jun and Guo,
Qinghua and Schreier, Peter J. and Xi, Jiangtao}, year={2014} }'
chicago: Tong, Jun, Qinghua Guo, Peter J. Schreier, and Jiangtao Xi. “Regularized
Successive Interference Cancellation (SIC) under Mismatched Modeling.” In Proc.\
IEEE Work.\ Stat.\ Signal Process. Gold Coast, Australia, 2014. https://doi.org/10.1109/SSP.2014.6884642.
ieee: 'J. Tong, Q. Guo, P. J. Schreier, and J. Xi, “Regularized successive interference
cancellation (SIC) under mismatched modeling,” 2014, doi: 10.1109/SSP.2014.6884642.'
mla: Tong, Jun, et al. “Regularized Successive Interference Cancellation (SIC) under
Mismatched Modeling.” Proc.\ IEEE Work.\ Stat.\ Signal Process., 2014,
doi:10.1109/SSP.2014.6884642.
short: 'J. Tong, Q. Guo, P.J. Schreier, J. Xi, in: Proc.\ IEEE Work.\ Stat.\ Signal
Process., Gold Coast, Australia, 2014.'
date_created: 2023-01-30T11:51:49Z
date_updated: 2023-01-30T12:00:50Z
department:
- _id: '263'
doi: 10.1109/SSP.2014.6884642
place: Gold Coast, Australia
publication: Proc.\ IEEE Work.\ Stat.\ Signal Process.
status: public
title: Regularized successive interference cancellation (SIC) under mismatched modeling
type: conference
user_id: '43497'
year: '2014'
...
---
_id: '40764'
author:
- first_name: Manuel
full_name: Stein, Manuel
last_name: Stein
- first_name: Mario
full_name: Castañeda, Mario
last_name: Castañeda
- first_name: Amine
full_name: Mezghani, Amine
last_name: Mezghani
- first_name: Josef A.
full_name: Nossek, Josef A.
last_name: Nossek
citation:
ama: Stein M, Castañeda M, Mezghani A, Nossek JA. Information-preserving transformations
for signal parameter estimation. IEEE Signal Process\ Lett. 2014;21(7):866–870.
doi:10.1109/LSP.2014.2315537
apa: Stein, M., Castañeda, M., Mezghani, A., & Nossek, J. A. (2014). Information-preserving
transformations for signal parameter estimation. IEEE Signal Process.\ Lett.,
21(7), 866–870. https://doi.org/10.1109/LSP.2014.2315537
bibtex: '@article{Stein_Castañeda_Mezghani_Nossek_2014, title={Information-preserving
transformations for signal parameter estimation}, volume={21}, DOI={10.1109/LSP.2014.2315537},
number={7}, journal={IEEE Signal Process.\ Lett.}, author={Stein, Manuel and Castañeda,
Mario and Mezghani, Amine and Nossek, Josef A.}, year={2014}, pages={866–870}
}'
chicago: 'Stein, Manuel, Mario Castañeda, Amine Mezghani, and Josef A. Nossek. “Information-Preserving
Transformations for Signal Parameter Estimation.” IEEE Signal Process.\ Lett.
21, no. 7 (2014): 866–870. https://doi.org/10.1109/LSP.2014.2315537.'
ieee: 'M. Stein, M. Castañeda, A. Mezghani, and J. A. Nossek, “Information-preserving
transformations for signal parameter estimation,” IEEE Signal Process.\ Lett.,
vol. 21, no. 7, pp. 866–870, 2014, doi: 10.1109/LSP.2014.2315537.'
mla: Stein, Manuel, et al. “Information-Preserving Transformations for Signal Parameter
Estimation.” IEEE Signal Process.\ Lett., vol. 21, no. 7, 2014, pp. 866–870,
doi:10.1109/LSP.2014.2315537.
short: M. Stein, M. Castañeda, A. Mezghani, J.A. Nossek, IEEE Signal Process.\ Lett.
21 (2014) 866–870.
date_created: 2023-01-30T11:51:49Z
date_updated: 2023-01-30T12:00:48Z
department:
- _id: '263'
doi: 10.1109/LSP.2014.2315537
intvolume: ' 21'
issue: '7'
page: 866–870
publication: IEEE Signal Process.\ Lett.
status: public
title: Information-preserving transformations for signal parameter estimation
type: journal_article
user_id: '43497'
volume: 21
year: '2014'
...
---
_id: '40757'
abstract:
- lang: eng
text: In this paper, we propose a novel mechanism for spectrum sensing that leads
us to exploit the spatio-temporal correlation present in the received signal at
a multi-antenna receiver. For the proposed mechanism, we formulate the spectrum
sensing scheme by adopting the generalized likelihood ratio test (GLRT). However,
the GLRT degenerates in the case of limited sample support. To circumvent this
problem, several extensions are proposed that bring robustness to the GLRT in
the case of high dimensionality and small sample size. In order to achieve these
sample-efficient detection schemes, we modify the GLRT-based detector by exploiting
the covariance structure and factoring the large spatio-temporal covariance matrix
into spatial and temporal covariance matrices. The performance of the proposed
detectors is evaluated by means of numerical simulations, showing important advantages
over existing detectors.
author:
- first_name: S.
full_name: Ali, S.
last_name: Ali
- first_name: D.
full_name: Ramírez, D.
last_name: Ramírez
- first_name: M.
full_name: Jansson, M.
last_name: Jansson
- first_name: G.
full_name: Seco-Granados, G.
last_name: Seco-Granados
- first_name: J. A.
full_name: López-Salcedo, J. A.
last_name: López-Salcedo
citation:
ama: Ali S, Ramírez D, Jansson M, Seco-Granados G, López-Salcedo JA. Multi-antenna
spectrum sensing by exploiting spatio-temporal correlation. Eurasip\ J\ Applied
Signal Process. 2014;160. doi:10.1186/1687-6180-2014-160
apa: Ali, S., Ramírez, D., Jansson, M., Seco-Granados, G., & López-Salcedo,
J. A. (2014). Multi-antenna spectrum sensing by exploiting spatio-temporal correlation.
Eurasip\ J.\ Applied Signal Process., 160. https://doi.org/10.1186/1687-6180-2014-160
bibtex: '@article{Ali_Ramírez_Jansson_Seco-Granados_López-Salcedo_2014, title={Multi-antenna
spectrum sensing by exploiting spatio-temporal correlation}, volume={160}, DOI={10.1186/1687-6180-2014-160},
journal={Eurasip\ J.\ Applied Signal Process.}, author={Ali, S. and Ramírez, D.
and Jansson, M. and Seco-Granados, G. and López-Salcedo, J. A.}, year={2014} }'
chicago: Ali, S., D. Ramírez, M. Jansson, G. Seco-Granados, and J. A. López-Salcedo.
“Multi-Antenna Spectrum Sensing by Exploiting Spatio-Temporal Correlation.” Eurasip\
J.\ Applied Signal Process. 160 (2014). https://doi.org/10.1186/1687-6180-2014-160.
ieee: 'S. Ali, D. Ramírez, M. Jansson, G. Seco-Granados, and J. A. López-Salcedo,
“Multi-antenna spectrum sensing by exploiting spatio-temporal correlation,” Eurasip\
J.\ Applied Signal Process., vol. 160, 2014, doi: 10.1186/1687-6180-2014-160.'
mla: Ali, S., et al. “Multi-Antenna Spectrum Sensing by Exploiting Spatio-Temporal
Correlation.” Eurasip\ J.\ Applied Signal Process., vol. 160, 2014, doi:10.1186/1687-6180-2014-160.
short: S. Ali, D. Ramírez, M. Jansson, G. Seco-Granados, J.A. López-Salcedo, Eurasip\
J.\ Applied Signal Process. 160 (2014).
date_created: 2023-01-30T11:51:47Z
date_updated: 2023-01-30T12:00:24Z
department:
- _id: '263'
doi: 10.1186/1687-6180-2014-160
intvolume: ' 160'
publication: Eurasip\ J.\ Applied Signal Process.
status: public
title: Multi-antenna spectrum sensing by exploiting spatio-temporal correlation
type: journal_article
user_id: '43497'
volume: 160
year: '2014'
...
---
_id: '40754'
author:
- first_name: Bruce
full_name: Draper, Bruce
last_name: Draper
- first_name: Michael
full_name: Kirby, Michael
last_name: Kirby
- first_name: Justin
full_name: Marks, Justin
last_name: Marks
- first_name: Tim
full_name: Marrinan, Tim
last_name: Marrinan
- first_name: Chris
full_name: Peterson, Chris
last_name: Peterson
citation:
ama: Draper B, Kirby M, Marks J, Marrinan T, Peterson C. A flag representation for
finite collections of subspaces of mixed dimensions. Lin\ Alg\ Appl. 2014;451:15–32.
doi:10.1016/j.laa.2014.03.022
apa: Draper, B., Kirby, M., Marks, J., Marrinan, T., & Peterson, C. (2014).
A flag representation for finite collections of subspaces of mixed dimensions.
Lin.\ Alg.\ Appl., 451, 15–32. https://doi.org/10.1016/j.laa.2014.03.022
bibtex: '@article{Draper_Kirby_Marks_Marrinan_Peterson_2014, title={A flag representation
for finite collections of subspaces of mixed dimensions}, volume={451}, DOI={10.1016/j.laa.2014.03.022},
journal={Lin.\ Alg.\ Appl.}, publisher={Elsevier}, author={Draper, Bruce and Kirby,
Michael and Marks, Justin and Marrinan, Tim and Peterson, Chris}, year={2014},
pages={15–32} }'
chicago: 'Draper, Bruce, Michael Kirby, Justin Marks, Tim Marrinan, and Chris Peterson.
“A Flag Representation for Finite Collections of Subspaces of Mixed Dimensions.”
Lin.\ Alg.\ Appl. 451 (2014): 15–32. https://doi.org/10.1016/j.laa.2014.03.022.'
ieee: 'B. Draper, M. Kirby, J. Marks, T. Marrinan, and C. Peterson, “A flag representation
for finite collections of subspaces of mixed dimensions,” Lin.\ Alg.\ Appl.,
vol. 451, pp. 15–32, 2014, doi: 10.1016/j.laa.2014.03.022.'
mla: Draper, Bruce, et al. “A Flag Representation for Finite Collections of Subspaces
of Mixed Dimensions.” Lin.\ Alg.\ Appl., vol. 451, Elsevier, 2014, pp.
15–32, doi:10.1016/j.laa.2014.03.022.
short: B. Draper, M. Kirby, J. Marks, T. Marrinan, C. Peterson, Lin.\ Alg.\ Appl.
451 (2014) 15–32.
date_created: 2023-01-30T11:51:47Z
date_updated: 2023-01-30T12:00:21Z
department:
- _id: '263'
doi: 10.1016/j.laa.2014.03.022
intvolume: ' 451'
page: 15–32
publication: Lin.\ Alg.\ Appl.
publisher: Elsevier
status: public
title: A flag representation for finite collections of subspaces of mixed dimensions
type: journal_article
user_id: '43497'
volume: 451
year: '2014'
...
---
_id: '40753'
abstract:
- lang: eng
text: It is well known that input-to-state stability admits an astonishing number
of equivalent characterizations. Here it is shown that for monotone systems on
$\Rnp$ there are some additional characterizations that are useful for network
stability analysis. These characterizations include system theoretic properties,
algebraic properties, as well as the problem of finding simultaneous bounds on
solutions to a collection of inequalities.
author:
- first_name: Björn S.
full_name: Rüffer, Björn S.
last_name: Rüffer
- first_name: Rudolf
full_name: Sailer, Rudolf
last_name: Sailer
citation:
ama: 'Rüffer BS, Sailer R. Input-to-State Stability for Discrete-Time Monotone Systems.
In: Proc. 21st Int. Symp. Mathematical Theory of Networks and Systems (MTNS).
; 2014.'
apa: Rüffer, B. S., & Sailer, R. (2014). Input-to-State Stability for Discrete-Time
Monotone Systems. Proc. 21st Int. Symp. Mathematical Theory of Networks and
Systems (MTNS).
bibtex: '@inproceedings{Rüffer_Sailer_2014, title={Input-to-State Stability for
Discrete-Time Monotone Systems}, booktitle={Proc. 21st Int. Symp. Mathematical
Theory of Networks and Systems (MTNS)}, author={Rüffer, Björn S. and Sailer, Rudolf},
year={2014} }'
chicago: Rüffer, Björn S., and Rudolf Sailer. “Input-to-State Stability for Discrete-Time
Monotone Systems.” In Proc. 21st Int. Symp. Mathematical Theory of Networks
and Systems (MTNS), 2014.
ieee: B. S. Rüffer and R. Sailer, “Input-to-State Stability for Discrete-Time Monotone
Systems,” 2014.
mla: Rüffer, Björn S., and Rudolf Sailer. “Input-to-State Stability for Discrete-Time
Monotone Systems.” Proc. 21st Int. Symp. Mathematical Theory of Networks and
Systems (MTNS), 2014.
short: 'B.S. Rüffer, R. Sailer, in: Proc. 21st Int. Symp. Mathematical Theory of
Networks and Systems (MTNS), 2014.'
date_created: 2023-01-30T11:51:47Z
date_updated: 2023-01-30T12:00:18Z
department:
- _id: '263'
publication: Proc. 21st Int. Symp. Mathematical Theory of Networks and Systems (MTNS)
status: public
title: Input-to-State Stability for Discrete-Time Monotone Systems
type: conference
user_id: '43497'
year: '2014'
...
---
_id: '40755'
author:
- first_name: L.
full_name: Huang, L.
last_name: Huang
- first_name: Y-.H.
full_name: Xiao, Y-.H.
last_name: Xiao
- first_name: H. C.
full_name: So, H. C.
last_name: So
- first_name: J.
full_name: Fang, J.
last_name: Fang
citation:
ama: Huang L, Xiao Y-. H, So HC, Fang J. Accurate Performance Analysis of Hadamard
Ratio Test for Robust Spectrum Sensing. IEEE Transactions on Wireless Communications.
2014;14(2):750–758.
apa: Huang, L., Xiao, Y.-. H., So, H. C., & Fang, J. (2014). Accurate Performance
Analysis of Hadamard Ratio Test for Robust Spectrum Sensing. IEEE Transactions
on Wireless Communications, 14(2), 750–758.
bibtex: '@article{Huang_Xiao_So_Fang_2014, title={Accurate Performance Analysis
of Hadamard Ratio Test for Robust Spectrum Sensing}, volume={14}, number={2},
journal={IEEE Transactions on Wireless Communications}, author={Huang, L. and
Xiao, Y-.H. and So, H. C. and Fang, J.}, year={2014}, pages={750–758} }'
chicago: 'Huang, L., Y-.H. Xiao, H. C. So, and J. Fang. “Accurate Performance Analysis
of Hadamard Ratio Test for Robust Spectrum Sensing.” IEEE Transactions on Wireless
Communications 14, no. 2 (2014): 750–758.'
ieee: L. Huang, Y.-. H. Xiao, H. C. So, and J. Fang, “Accurate Performance Analysis
of Hadamard Ratio Test for Robust Spectrum Sensing,” IEEE Transactions on Wireless
Communications, vol. 14, no. 2, pp. 750–758, 2014.
mla: Huang, L., et al. “Accurate Performance Analysis of Hadamard Ratio Test for
Robust Spectrum Sensing.” IEEE Transactions on Wireless Communications,
vol. 14, no. 2, 2014, pp. 750–758.
short: L. Huang, Y.-. H. Xiao, H.C. So, J. Fang, IEEE Transactions on Wireless Communications
14 (2014) 750–758.
date_created: 2023-01-30T11:51:47Z
date_updated: 2023-01-30T12:00:16Z
department:
- _id: '263'
intvolume: ' 14'
issue: '2'
page: 750–758
publication: IEEE Transactions on Wireless Communications
status: public
title: Accurate Performance Analysis of Hadamard Ratio Test for Robust Spectrum Sensing
type: journal_article
user_id: '43497'
volume: 14
year: '2014'
...
---
_id: '40756'
author:
- first_name: Tim
full_name: Marrinan, Tim
last_name: Marrinan
- first_name: Bruce
full_name: Draper, Bruce
last_name: Draper
- first_name: J. Ross
full_name: Beveridge, J. Ross
last_name: Beveridge
- first_name: Michael
full_name: Kirby, Michael
last_name: Kirby
- first_name: Chris
full_name: Peterson, Chris
last_name: Peterson
citation:
ama: 'Marrinan T, Draper B, Beveridge JR, Kirby M, Peterson C. Finding the Subspace
Mean or Median to Fit Your Need. In: CVPR. ; 2014:1082–1089. doi:10.1109/CVPR.2014.142'
apa: Marrinan, T., Draper, B., Beveridge, J. R., Kirby, M., & Peterson, C. (2014).
Finding the Subspace Mean or Median to Fit Your Need. CVPR, 1082–1089.
https://doi.org/10.1109/CVPR.2014.142
bibtex: '@inproceedings{Marrinan_Draper_Beveridge_Kirby_Peterson_2014, title={Finding
the Subspace Mean or Median to Fit Your Need}, DOI={10.1109/CVPR.2014.142},
booktitle={CVPR}, author={Marrinan, Tim and Draper, Bruce and Beveridge, J. Ross
and Kirby, Michael and Peterson, Chris}, year={2014}, pages={1082–1089} }'
chicago: Marrinan, Tim, Bruce Draper, J. Ross Beveridge, Michael Kirby, and Chris
Peterson. “Finding the Subspace Mean or Median to Fit Your Need.” In CVPR,
1082–1089, 2014. https://doi.org/10.1109/CVPR.2014.142.
ieee: 'T. Marrinan, B. Draper, J. R. Beveridge, M. Kirby, and C. Peterson, “Finding
the Subspace Mean or Median to Fit Your Need,” in CVPR, 2014, pp. 1082–1089,
doi: 10.1109/CVPR.2014.142.'
mla: Marrinan, Tim, et al. “Finding the Subspace Mean or Median to Fit Your Need.”
CVPR, 2014, pp. 1082–1089, doi:10.1109/CVPR.2014.142.
short: 'T. Marrinan, B. Draper, J.R. Beveridge, M. Kirby, C. Peterson, in: CVPR,
2014, pp. 1082–1089.'
date_created: 2023-01-30T11:51:47Z
date_updated: 2023-01-30T12:00:14Z
department:
- _id: '263'
doi: 10.1109/CVPR.2014.142
page: 1082–1089
publication: CVPR
status: public
title: Finding the Subspace Mean or Median to Fit Your Need
type: conference
user_id: '43497'
year: '2014'
...
---
_id: '40758'
abstract:
- lang: eng
text: Phase synchronization among neuronal oscillations within the same frequency
band has been hypothesized to be a major mechanism for communication between different
brain areas. On the other hand, cross-frequency com- munications are more flexible
allowing interactions between oscillations with different frequencies. Among such
cross-frequency interactions amplitude-to-amplitude interactions are of a special
interest as they show how the strength of spatial synchronization in different
neuronal populations relates to each other during a given task. While, previously,
amplitude-to-amplitude correlations were studied primarily on the sensor level,
we present a source separation approach using spatial filters which maximize the
correlation between the envelopes of brain oscillations recorded with electro-/magnetoencephalography
(EEG/MEG) or intracranial multichannel re- cordings. Our approach, which is called
canonical source power correlation analysis (cSPoC), is thereby capable of extracting
genuine brain oscillations solely based on their assumed coupling behavior even
when the signal-to- noise ratio of the signals is low. In addition to using cSPoC
for the analysis of cross-frequency interactions in the same subject, we show
that it can also be utilized for studying amplitude dynamics of neuronal oscillations
across subjects. We assess the performance of cSPoC in simulations as well as
in three distinctively different analysis sce- narios of real EEG data, each involving
several subjects. In the simulations, cSPoC outperforms unsupervised state-of-the-art
approaches. In the analysis of real EEG recordings, we demonstrate excellent unsupervised
dis- covery of meaningful power-to-power couplings, within as well as across subjects
and frequency bands.
author:
- first_name: S.
full_name: Dähne, S.
last_name: Dähne
- first_name: V. V.
full_name: Nikulin, V. V.
last_name: Nikulin
- first_name: D.
full_name: Ramírez, D.
last_name: Ramírez
- first_name: P. J.
full_name: Schreier, P. J.
last_name: Schreier
- first_name: K.-R.
full_name: Müller, K.-R.
last_name: Müller
- first_name: S.
full_name: Haufe, S.
last_name: Haufe
citation:
ama: Dähne S, Nikulin VV, Ramírez D, Schreier PJ, Müller K-R, Haufe S. Finding brain
oscillations with power dependencies in neuroimaging data. NeuroImage.
2014;96:334–348. doi:10.1016/j.neuroimage.2014.03.075
apa: Dähne, S., Nikulin, V. V., Ramírez, D., Schreier, P. J., Müller, K.-R., &
Haufe, S. (2014). Finding brain oscillations with power dependencies in neuroimaging
data. NeuroImage, 96, 334–348. https://doi.org/10.1016/j.neuroimage.2014.03.075
bibtex: '@article{Dähne_Nikulin_Ramírez_Schreier_Müller_Haufe_2014, title={Finding
brain oscillations with power dependencies in neuroimaging data}, volume={96},
DOI={10.1016/j.neuroimage.2014.03.075},
journal={NeuroImage}, author={Dähne, S. and Nikulin, V. V. and Ramírez, D. and
Schreier, P. J. and Müller, K.-R. and Haufe, S.}, year={2014}, pages={334–348}
}'
chicago: 'Dähne, S., V. V. Nikulin, D. Ramírez, P. J. Schreier, K.-R. Müller, and
S. Haufe. “Finding Brain Oscillations with Power Dependencies in Neuroimaging
Data.” NeuroImage 96 (2014): 334–348. https://doi.org/10.1016/j.neuroimage.2014.03.075.'
ieee: 'S. Dähne, V. V. Nikulin, D. Ramírez, P. J. Schreier, K.-R. Müller, and S.
Haufe, “Finding brain oscillations with power dependencies in neuroimaging data,”
NeuroImage, vol. 96, pp. 334–348, 2014, doi: 10.1016/j.neuroimage.2014.03.075.'
mla: Dähne, S., et al. “Finding Brain Oscillations with Power Dependencies in Neuroimaging
Data.” NeuroImage, vol. 96, 2014, pp. 334–348, doi:10.1016/j.neuroimage.2014.03.075.
short: S. Dähne, V.V. Nikulin, D. Ramírez, P.J. Schreier, K.-R. Müller, S. Haufe,
NeuroImage 96 (2014) 334–348.
date_created: 2023-01-30T11:51:48Z
date_updated: 2023-01-30T12:00:41Z
department:
- _id: '263'
doi: 10.1016/j.neuroimage.2014.03.075
intvolume: ' 96'
page: 334–348
publication: NeuroImage
status: public
title: Finding brain oscillations with power dependencies in neuroimaging data
type: journal_article
user_id: '43497'
volume: 96
year: '2014'
...
---
_id: '40762'
abstract:
- lang: eng
text: Detecting and analyzing directional structures in images is important in many
applications since one-dimensional patterns often correspond to important features
such as object contours or trajectories. Classifying a structure as directional
or non-directional requires a measure to quantify the degree of directionality
and a threshold, which needs to be chosen based on the statistics of the image.
In order to do this, we model the image as a random field. So far, little research
has been performed on analyzing directionality in random fields. In this paper,
we propose a measure to quantify the degree of directionality based on the random
monogenic signal, which enables a unique decomposition of a 2D signal into local
amplitude, local orientation, and local phase. We investigate the second-order
statistical properties of the monogenic signal for isotropic, anisotropic, and
unidirectional random fields. We analyze our measure of directionality for finite-size
sample images, and determine a threshold to distinguish between unidirectional
and non-unidirectional random fields, which allows the automatic classification
of images.
author:
- first_name: S. C.
full_name: Olhede, S. C.
last_name: Olhede
- first_name: D.
full_name: Ramírez, D.
last_name: Ramírez
- first_name: P. J.
full_name: Schreier, P. J.
last_name: Schreier
citation:
ama: Olhede SC, Ramírez D, Schreier PJ. Detecting Directionality in Random Fields
Using the Monogenic Signal. IEEE Trans\ Inform\ Theory. 2014;60(10):6491–6510.
doi:10.1109/TIT.2014.2342734
apa: Olhede, S. C., Ramírez, D., & Schreier, P. J. (2014). Detecting Directionality
in Random Fields Using the Monogenic Signal. IEEE Trans.\ Inform.\ Theory,
60(10), 6491–6510. https://doi.org/10.1109/TIT.2014.2342734
bibtex: '@article{Olhede_Ramírez_Schreier_2014, title={Detecting Directionality
in Random Fields Using the Monogenic Signal}, volume={60}, DOI={10.1109/TIT.2014.2342734},
number={10}, journal={IEEE Trans.\ Inform.\ Theory}, author={Olhede, S. C. and
Ramírez, D. and Schreier, P. J.}, year={2014}, pages={6491–6510} }'
chicago: 'Olhede, S. C., D. Ramírez, and P. J. Schreier. “Detecting Directionality
in Random Fields Using the Monogenic Signal.” IEEE Trans.\ Inform.\ Theory
60, no. 10 (2014): 6491–6510. https://doi.org/10.1109/TIT.2014.2342734.'
ieee: 'S. C. Olhede, D. Ramírez, and P. J. Schreier, “Detecting Directionality in
Random Fields Using the Monogenic Signal,” IEEE Trans.\ Inform.\ Theory,
vol. 60, no. 10, pp. 6491–6510, 2014, doi: 10.1109/TIT.2014.2342734.'
mla: Olhede, S. C., et al. “Detecting Directionality in Random Fields Using the
Monogenic Signal.” IEEE Trans.\ Inform.\ Theory, vol. 60, no. 10, 2014,
pp. 6491–6510, doi:10.1109/TIT.2014.2342734.
short: S.C. Olhede, D. Ramírez, P.J. Schreier, IEEE Trans.\ Inform.\ Theory 60 (2014)
6491–6510.
date_created: 2023-01-30T11:51:48Z
date_updated: 2023-01-30T12:00:35Z
department:
- _id: '263'
doi: 10.1109/TIT.2014.2342734
intvolume: ' 60'
issue: '10'
page: 6491–6510
publication: IEEE Trans.\ Inform.\ Theory
status: public
title: Detecting Directionality in Random Fields Using the Monogenic Signal
type: journal_article
user_id: '43497'
volume: 60
year: '2014'
...
---
_id: '40760'
abstract:
- lang: eng
text: Alternating minimization and steepest descent are commonly used strategies
to obtain interference alignment (IA) solutions in the $K$-user multiple-input
multiple-output (MIMO) interference channel (IC). Although these algorithms are
shown to converge monotonically, they experience a poor convergence rate, requiring
an enormous amount of iterations which substantially increases with the size of
the scenario. To alleviate this drawback, in this letter we resort to the Gauss-Newton
(GN) method, which is well-known to experience quadratic convergence when the
iterates are sufficiently close to the optimum. We discuss the convergence properties
of the proposed GN algorithm and provide several numerical examples showing that
it always converges to the optimum with quadratic rate, reducing dramatically
the required computation time in comparison to other algorithms, hence paving
a new way for the design of IA algorithms.
author:
- first_name: Christian
full_name: Lameiro, Christian
last_name: Lameiro
- first_name: Ignacio
full_name: Santamaría, Ignacio
last_name: Santamaría
citation:
ama: Lameiro C, Santamaría I. A Quadratically Convergent Method for Interference
Alignment in MIMO Interference Channels. IEEE Signal Process Lett. 2014;21:1423–1427.
doi:10.1109/LSP.2014.2338132
apa: Lameiro, C., & Santamaría, I. (2014). A Quadratically Convergent Method
for Interference Alignment in MIMO Interference Channels. IEEE Signal Process.
Lett., 21, 1423–1427. https://doi.org/10.1109/LSP.2014.2338132
bibtex: '@article{Lameiro_Santamaría_2014, title={A Quadratically Convergent Method
for Interference Alignment in MIMO Interference Channels}, volume={21}, DOI={10.1109/LSP.2014.2338132},
journal={IEEE Signal Process. Lett.}, author={Lameiro, Christian and Santamaría,
Ignacio}, year={2014}, pages={1423–1427} }'
chicago: 'Lameiro, Christian, and Ignacio Santamaría. “A Quadratically Convergent
Method for Interference Alignment in MIMO Interference Channels.” IEEE Signal
Process. Lett. 21 (2014): 1423–1427. https://doi.org/10.1109/LSP.2014.2338132.'
ieee: 'C. Lameiro and I. Santamaría, “A Quadratically Convergent Method for Interference
Alignment in MIMO Interference Channels,” IEEE Signal Process. Lett., vol.
21, pp. 1423–1427, 2014, doi: 10.1109/LSP.2014.2338132.'
mla: Lameiro, Christian, and Ignacio Santamaría. “A Quadratically Convergent Method
for Interference Alignment in MIMO Interference Channels.” IEEE Signal Process.
Lett., vol. 21, 2014, pp. 1423–1427, doi:10.1109/LSP.2014.2338132.
short: C. Lameiro, I. Santamaría, IEEE Signal Process. Lett. 21 (2014) 1423–1427.
date_created: 2023-01-30T11:51:48Z
date_updated: 2023-01-30T12:00:39Z
department:
- _id: '263'
doi: 10.1109/LSP.2014.2338132
intvolume: ' 21'
page: 1423–1427
publication: IEEE Signal Process. Lett.
status: public
title: A Quadratically Convergent Method for Interference Alignment in MIMO Interference
Channels
type: journal_article
user_id: '43497'
volume: 21
year: '2014'
...
---
_id: '40761'
abstract:
- lang: eng
text: This paper derives the interference-temperature (IT) limit for a multi-antenna
primary user (PU) with a rate constraint. While in the case of a single-antenna
PU there is a one-to-one mapping between IT and achievable rate, this correspondence
does not hold anymore when a multiple-input multiple-output (MIMO) system is considered.
In such cases, the spatial distribution of the interference must be taken into
account, since it strongly affects the PU performance. To this end, we derive
a closed-form expression for the maximum IT that can be tolerated by identifying
the worst-case interference covariance matrix, which results in a multilevel waterfilling
problem.
author:
- first_name: Christian
full_name: Lameiro, Christian
last_name: Lameiro
- first_name: Wolfgang
full_name: Utschick, Wolfgang
last_name: Utschick
- first_name: Ignacio
full_name: Santamaría, Ignacio
last_name: Santamaría
citation:
ama: 'Lameiro C, Utschick W, Santamaría I. Interference-Temperature Limit for Cognitive
Radio Networks with MIMO Primary Users. In: Proc.\ Asilomar Conf.\ Signals
Syst.\ Computers. ; 2014. doi:10.1109/ACSSC.2014.7094625'
apa: Lameiro, C., Utschick, W., & Santamaría, I. (2014). Interference-Temperature
Limit for Cognitive Radio Networks with MIMO Primary Users. Proc.\ Asilomar
Conf.\ Signals Syst.\ Computers. https://doi.org/10.1109/ACSSC.2014.7094625
bibtex: '@inproceedings{Lameiro_Utschick_Santamaría_2014, place={Pacific Grove,
CA, USA}, title={Interference-Temperature Limit for Cognitive Radio Networks with
MIMO Primary Users}, DOI={10.1109/ACSSC.2014.7094625},
booktitle={Proc.\ Asilomar Conf.\ Signals Syst.\ Computers}, author={Lameiro,
Christian and Utschick, Wolfgang and Santamaría, Ignacio}, year={2014} }'
chicago: Lameiro, Christian, Wolfgang Utschick, and Ignacio Santamaría. “Interference-Temperature
Limit for Cognitive Radio Networks with MIMO Primary Users.” In Proc.\ Asilomar
Conf.\ Signals Syst.\ Computers. Pacific Grove, CA, USA, 2014. https://doi.org/10.1109/ACSSC.2014.7094625.
ieee: 'C. Lameiro, W. Utschick, and I. Santamaría, “Interference-Temperature Limit
for Cognitive Radio Networks with MIMO Primary Users,” 2014, doi: 10.1109/ACSSC.2014.7094625.'
mla: Lameiro, Christian, et al. “Interference-Temperature Limit for Cognitive Radio
Networks with MIMO Primary Users.” Proc.\ Asilomar Conf.\ Signals Syst.\ Computers,
2014, doi:10.1109/ACSSC.2014.7094625.
short: 'C. Lameiro, W. Utschick, I. Santamaría, in: Proc.\ Asilomar Conf.\ Signals
Syst.\ Computers, Pacific Grove, CA, USA, 2014.'
date_created: 2023-01-30T11:51:48Z
date_updated: 2023-01-30T12:00:33Z
department:
- _id: '263'
doi: 10.1109/ACSSC.2014.7094625
place: Pacific Grove, CA, USA
publication: Proc.\ Asilomar Conf.\ Signals Syst.\ Computers
status: public
title: Interference-Temperature Limit for Cognitive Radio Networks with MIMO Primary
Users
type: conference
user_id: '43497'
year: '2014'
...