@inproceedings{38362,
  author       = {{Koch, B. and Noé, Reinhold and Mirvoda, V. and Sandel, D. and Panhwar, M. F.}},
  booktitle    = {{2014 OPTOELECTRONICS AND COMMUNICATIONS CONFERENCE AND AUSTRALIAN CONFERENCE ON OPTICAL FIBRE TECHNOLOGY (OECC/ACOFT 2014)}},
  isbn         = {{978-1-922107-21-3}},
  pages        = {{646--648}},
  title        = {{{40 dB CROSSTALK SUPPRESSION IN HIGH-PRECISION ENDLESS POLARIZATION CONTROL}}},
  year         = {{2014}},
}

@inproceedings{38360,
  author       = {{Koch, B. and Noé, Reinhold and Mirvoda, V. and Sandel, D. and Panhwar, M. F.}},
  booktitle    = {{2014 OPTOELECTRONICS AND COMMUNICATIONS CONFERENCE AND AUSTRALIAN CONFERENCE ON OPTICAL FIBRE TECHNOLOGY (OECC/ACOFT 2014)}},
  isbn         = {{978-1-922107-21-3}},
  pages        = {{643--645}},
  title        = {{{APD-BASED INTERFERENCE DETECTORS YIELD 7-dB DYNAMIC RANGE OF 70-krad/s PDM-DPSK ENDLESS POLARIZATION DEMULTIPLEXER}}},
  year         = {{2014}},
}

@inproceedings{38323,
  author       = {{Koch, Benjamin and Noé, Reinhold and Mirvoda, Vitali and Sandel, David}},
  booktitle    = {{2014 OPTICAL FIBER COMMUNICATIONS CONFERENCE AND EXHIBITION (OFC)}},
  isbn         = {{978-1-55752-993-0}},
  title        = {{{1-THz Bandwidth of 70-krad/s Endless Optical Polarization Control}}},
  year         = {{2014}},
}

@inproceedings{38310,
  author       = {{Koch, B. and Noé, Reinhold and Mirvoda, V. and Sandel, D. and Panhwar, M. F.}},
  booktitle    = {{2014 OPTOELECTRONICS AND COMMUNICATIONS CONFERENCE AND AUSTRALIAN CONFERENCE ON OPTICAL FIBRE TECHNOLOGY (OECC/ACOFT 2014)}},
  isbn         = {{978-1-922107-21-3}},
  pages        = {{643--645}},
  title        = {{{APD-BASED INTERFERENCE DETECTORS YIELD 7-dB DYNAMIC RANGE OF 70-krad/s PDM-DPSK ENDLESS POLARIZATION DEMULTIPLEXER}}},
  year         = {{2014}},
}

@inproceedings{38312,
  author       = {{Koch, B. and Noé, Reinhold and Mirvoda, V. and Sandel, D. and Panhwar, M. F.}},
  booktitle    = {{2014 OPTOELECTRONICS AND COMMUNICATIONS CONFERENCE AND AUSTRALIAN CONFERENCE ON OPTICAL FIBRE TECHNOLOGY (OECC/ACOFT 2014)}},
  isbn         = {{978-1-922107-21-3}},
  pages        = {{646--648}},
  title        = {{{40 dB CROSSTALK SUPPRESSION IN HIGH-PRECISION ENDLESS POLARIZATION CONTROL}}},
  year         = {{2014}},
}

@inproceedings{38240,
  author       = {{Koch, Benjamin and Noé, Reinhold and Mirvoda, Vitali and Sandel, David}},
  booktitle    = {{OFC 2014}},
  pages        = {{1--3}},
  title        = {{{1-THz bandwidth of 70-krad/s endless optical polarization control}}},
  doi          = {{10.1364/OFC.2014.Th2A.1}},
  year         = {{2014}},
}

@article{37667,
  author       = {{Rösler, Margit and Remling, Heiko}},
  issn         = {{0021-9045}},
  journal      = {{Journal of Approximation Theory}},
  keywords     = {{Applied Mathematics, General Mathematics, Numerical Analysis, Analysis}},
  pages        = {{30--48}},
  publisher    = {{Elsevier BV}},
  title        = {{{Convolution algebras for Heckman–Opdam polynomials derived from compact Grassmannians}}},
  doi          = {{10.1016/j.jat.2014.07.005}},
  volume       = {{197}},
  year         = {{2014}},
}

@article{24310,
  abstract     = {{A millimeter wave frequency mixed-signal design of a 1-tap half-rate look-ahead decision feedback equalizer for 80 Gb/s short-reach optical communication systems is presented. On-wafer tests are developed to determine the maximum operating bit rate of the equalizer. Results are also presented for intersymbol interference mitigation at 80 Gb/s for a 20 GHz bandwidth-limited channel. Further improvements on the architecture of the 80 Gb/s equalizer are discussed and used in the design and on-wafer measurement of a 110 Gb/s equalizer. The equalizers are designed in a 0.13 μm SiGe:C BiCMOS technology. The 80 and 110 Gb/s versions dissipate 4 and 5.75 W, respectively and occupy 2 and 2.56 mm 2 , respectively.}},
  author       = {{Awny, Ahmed and Möller, Lothar and Junio, Josef and Scheytt, Christoph and Thiede, Andreas}},
  issn         = {{1558-173X}},
  journal      = {{IEEE JOURNAL OF SOLID-STATE CIRCUITS}},
  number       = {{No.2}},
  pages        = {{452--470}},
  title        = {{{Design and Measurement Techniques for an 80 Gb/s 1-Tap Decision Feedback Equalizer}}},
  doi          = {{10.1109/JSSC.2013.2285385}},
  volume       = {{Vol.49}},
  year         = {{2014}},
}

@inproceedings{38416,
  author       = {{Hussin, S. and Noé, Reinhold and Panhwar, M. F.}},
  booktitle    = {{2014 OPTOELECTRONICS AND COMMUNICATIONS CONFERENCE AND AUSTRALIAN CONFERENCE ON OPTICAL FIBRE TECHNOLOGY (OECC/ACOFT 2014)}},
  isbn         = {{978-1-922107-21-3}},
  pages        = {{768--770}},
  title        = {{{FIBER NONLINEARITY TOLERANCE OF PARTIAL PILOT FILLING IN CO-OFDM TRANSMISSION SYSTEMS}}},
  year         = {{2014}},
}

@inproceedings{38373,
  author       = {{Koch, Benjamin and Noé, Reinhold and Mirvoda, Vitali and Sandel, David}},
  booktitle    = {{2014 OPTICAL FIBER COMMUNICATIONS CONFERENCE AND EXHIBITION (OFC)}},
  isbn         = {{978-1-55752-993-0}},
  title        = {{{1-THz Bandwidth of 70-krad/s Endless Optical Polarization Control}}},
  year         = {{2014}},
}

@inproceedings{40766,
  abstract     = {{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       = {{Dähne, S. and Nikulin, V. V. and Ramírez, D. and Schreier, P. J. and Müller, K.-R. and Haufe, S.}},
  booktitle    = {{Proc. Int. Work. Pattern Recognition In Neuroimaging}},
  title        = {{{Optimizing spatial filters for the extraction of envelope-coupled neural oscillations}}},
  doi          = {{10.1109/PRNI.2014.6858514}},
  year         = {{2014}},
}

@article{40775,
  abstract     = {{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       = {{Ramírez, D. and Schreier, P. J. and Vía, J. and Santamaría, I.}},
  journal      = {{Signal Process.}},
  pages        = {{49–57}},
  title        = {{{Testing blind separability of complex Gaussian mixtures}}},
  doi          = {{10.1016/j.sigpro.2013.08.010}},
  volume       = {{95}},
  year         = {{2014}},
}

@article{40771,
  author       = {{Manco-Vásquez, J. and Lázaro-Gredilla, M. and Ramírez, D. and Vía, J. and Santamaría, I.}},
  journal      = {{Signal Process.}},
  pages        = {{228–240}},
  title        = {{{A Bayesian approach for adaptive multiantenna sensing in cognitive radio networks}}},
  doi          = {{10.1016/j.sigpro.2013.10.005}},
  volume       = {{96, Part B}},
  year         = {{2014}},
}

@inproceedings{40770,
  author       = {{Stein, Manuel and Lenz, Andreas and Mezghani, Amine and Nossek, Josef A.}},
  booktitle    = {{Proc.\ IEEE Int.\ Conf.\ Acoustics, Speech and Signal Process.}},
  title        = {{{Optimum analog receive filters for detection and inference under a sampling rate constraint}}},
  year         = {{2014}},
}

@inproceedings{40772,
  author       = {{Lameiro, Christian and Utschick, Wolfgang and Santamaría, Ignacio}},
  booktitle    = {{Proc. Int. ITG Work. Smart Antennas}},
  title        = {{{Spatial Shaping and Precoding Design for Underlay MIMO Interference Channels}}},
  year         = {{2014}},
}

@inproceedings{40773,
  author       = {{Stein, Manuel and Castañeda, Mario and Nossek, Josef A.}},
  booktitle    = {{Proc.\ ITG Int.\ Work. Smart Ant.}},
  title        = {{{Information-preserving spatial filtering for direction-of-arrival estimation}}},
  year         = {{2014}},
}

@article{40776,
  author       = {{Schreier, Peter J.}},
  journal      = {{ForschungsForum Paderborn}},
  pages        = {{24–30}},
  title        = {{{Neue Anwendungsgebiete für Computer Assisted Surgery (CAS)}}},
  volume       = {{17}},
  year         = {{2014}},
}

@inproceedings{40774,
  author       = {{Stein, Manuel and Nossek, Josef A.}},
  booktitle    = {{Proc. of IEEE/ION PLANS 2014}},
  title        = {{{Will the 1-bit GNSS receiver prevail?}}},
  year         = {{2014}},
}

@inproceedings{40768,
  abstract     = {{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       = {{Ramírez, D. and Scharf, L. L. and Vía, J. and Santamaría, I. and Schreier, P. J.}},
  booktitle    = {{Proc.\ IEEE Int.\ Conf.\ Acoustics, Speech and Signal Process.}},
  title        = {{{An asymptotic GLRT for the detection of cyclostationary signals}}},
  doi          = {{10.1109/ICASSP.2014.6854234}},
  year         = {{2014}},
}

@inproceedings{40767,
  abstract     = {{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       = {{Tong, Jun and Guo, Qinghua and Schreier, Peter J. and Xi, Jiangtao}},
  booktitle    = {{Proc.\ IEEE Work.\ Stat.\ Signal Process.}},
  title        = {{{Regularized successive interference cancellation (SIC) under mismatched modeling}}},
  doi          = {{10.1109/SSP.2014.6884642}},
  year         = {{2014}},
}