@inproceedings{38331, author = {{Hussin, Saleh and Puntsri, Kidsanapong and Noé, Reinhold}}, booktitle = {{17TH EUROPEAN CONFERENCE ON NETWORK AND OPTICAL COMMUNICATIONS (NOC 2012) AND 7TH CONFERENCE ON OPTICAL CABLING AND INFRASTRUCTURE (OC&I 2012)}}, editor = {{MasipBruin, X and MarinTordera, E and Jukan, A and Faulkner, D and Spalter, S and Munoz, R}}, isbn = {{978-1-4673-0951-6}}, issn = {{2381-3563}}, title = {{{Performance Analysis of RF-Pilot Phase Noise Compensation Techniques in Coherent Optical OFDM Systems}}}, year = {{2012}}, } @article{39724, author = {{Redler, Andreas and Kitzerow, Heinz-Siegfried}}, issn = {{1042-7147}}, journal = {{Polymers for Advanced Technologies}}, keywords = {{Polymers and Plastics}}, number = {{1}}, pages = {{7--9}}, publisher = {{Wiley}}, title = {{{Three-dimensional structure in holographic polymer-dispersed liquid crystals}}}, doi = {{10.1002/pat.3040}}, volume = {{24}}, year = {{2012}}, } @inproceedings{38415, author = {{Jan, Omar and Sandel, D. and El-Darawy, M. and Puntsri, K. and Al-Bermani, A. and Noé, Reinhold}}, booktitle = {{2012 38TH EUROPEAN CONFERENCE AND EXHIBITION ON OPTICAL COMMUNICATIONS (ECOC)}}, isbn = {{978-1-55752-950-3}}, title = {{{Phase Noise Robustness of SIM-OFDM in CO-OFDM Transmission}}}, year = {{2012}}, } @inproceedings{38381, author = {{Hussin, Saleh and Puntsri, Kidsanapong and Noé, Reinhold}}, booktitle = {{17TH EUROPEAN CONFERENCE ON NETWORK AND OPTICAL COMMUNICATIONS (NOC 2012) AND 7TH CONFERENCE ON OPTICAL CABLING AND INFRASTRUCTURE (OC&I 2012)}}, editor = {{MasipBruin, X and MarinTordera, E and Jukan, A and Faulkner, D and Spalter, S and Munoz, R}}, isbn = {{978-1-4673-0951-6}}, issn = {{2381-3563}}, title = {{{Performance Analysis of RF-Pilot Phase Noise Compensation Techniques in Coherent Optical OFDM Systems}}}, year = {{2012}}, } @article{40811, abstract = {{Deadwood moisture affects multiple functions of downed logs in forest ecosystems. They include provision of habitats for xylobionts, additional water stores and organic carbon stocks. In contrast to Northern American forests, little is known about moisture variability in downed logs of important tree species within the Temperate Zone of Europe. Therefore, our study aimed at elucidating this variability according to species, site and decay class (DC). Measurements were taken by TDR during two vegetation periods in eight Carpathian natural forests representing distinct site conditions, ranging from xerothermophilous to subalpine. Downed logs of \emphQuercus spp., \emph{Abies alba} Mill., \emph{Fagus sylvatica} L., and \emph{Picea abies} L., belonging to various DCs, were selected and instrumented with TDR probes. Species and DC-specific TDR calibration showed the importance of intrinsic wood porosity. The course of deadwood moisture consisted of drying during the early decay stage, except for \emph{A. alba} and \emph{F. sylvatica}, and an intense water reabsorption at later decay stages. Average moisture for all species and sites displayed seasonal trends, reflecting the occurrence of precipitation clusters and dry periods, as well as short-term fluctuations. Cross-spectral analysis revealed that both sapwood and heartwood participated in wetting and drying processes, but only after reaching an advanced stage of decay. New findings can be applied in interpreting, modelling and predicting deadwood water stores, habitat properties and respiration.}}, author = {{Pichler, V. and Homolák, M. and Skierucha, W. and Pichlerová, M. and Ramírez, D. and Gregor, J. and Jaloviar, P.}}, journal = {{Ecohydrology}}, number = {{4}}, pages = {{424–434}}, title = {{{Variability of moisture in coarse woody debris from several ecologically important tree species of the Temperate Zone of Europe}}}, doi = {{10.1002/eco.235}}, volume = {{5}}, year = {{2012}}, } @inproceedings{40812, abstract = {{Spectrum sensing has become one of the main components of a cognitive transmitter. Conventional detectors suffer from noise power uncertainties and multiantenna detectors have been proposed to overcome this difficulty, and to improve the detection performance. However, most of the proposed multiantenna detectors are based on non-optimal techniques, such as the generalized likelihood ratio test (GLRT), or even heuristic approaches that are not based on first principles. In this work, we derive the locally most powerful invariant test (LMPIT), that is, the optimal invariant detector for close hypotheses, or equivalently, for a low signal-to-noise ratio (SNR). The traditional approach, based on the distributions of the maximal invariant statistic, is avoided thanks to Wijsman’s theorem, which does not need these distributions. Our findings show that, in the low SNR regime, and in contrast to the GLRT, the additional spatial structure imposed by the signal model is irrelevant for optimal detection. Finally, we use Monte Carlo simulations to illustrate the good performance of the LMPIT.}}, author = {{Ramírez, D. and Iscar, J. and Vía, J. and Santamaría, I. and Scharf, L. L.}}, booktitle = {{Proc.\ IEEE Sensor Array and Multichannel Signal Process. Work.}}, title = {{{The Locally Most Powerful Invariant Test for Detecting a rank-$P$ Gaussian Signal in White Noise}}}, doi = {{10.1109/SAM.2012.6250547}}, year = {{2012}}, } @inproceedings{40819, abstract = {{Spectrum sensing is a key component of the cognitive radio (CR) paradigm. Among CR detectors, multiantenna detectors are gaining popularity since they improve the detection performance and are robust to noise uncertainties. Traditional approaches to multiantenna spectrum sensing are based on the generalized likelihood ratio test (GLRT) or other heuristic detectors, which are not optimal in the Neyman-Pearson sense. In this work, we derive the locally most powerful invariant test (LMPIT), which is the optimal detector, among those preserving the problem invariances, in the low SNR regime. In particular, we apply Wijsman’s theorem, which provides us an alternative way to derive the ratio of the distributions of the maximal invariant statistic. Finally, numerical simulations illustrate the performance of the proposed detector.}}, author = {{Ramírez, D. and Vía, J. and Santamaría, I.}}, booktitle = {{Proc.\ IEEE Int.\ Conf.\ Acoustics, Speech and Signal Process.}}, title = {{{The Locally Most Powerful Test For Multiantenna Spectrum Sensing With Uncalibrated Receivers}}}, doi = {{10.1109/ICASSP.2012.6288655}}, year = {{2012}}, } @inproceedings{40823, author = {{Eguizabal, Alma and Laughney, Ashley M. and Garcia-Allende, P. Beatriz and Krishnaswamy, Venkataramanan and Wells, Wendy A. and Paulsen, Keith D. and Pogue, Brian W. and Lopez-Higuera, Jose and Conde, Olga M.}}, booktitle = {{SPIE Photonics West 2012-BIOS, VI Biomedical Applications of Light Scattering}}, title = {{{Enhanced tumor contrast during breast lumpectomy provided by independent component analysis of localized reflectance measures}}}, year = {{2012}}, } @inproceedings{40822, author = {{Eguizabal, Alma and Laughney, Ashley M. and Garcia-Allende, P. Beatriz and Krishnaswamy, Venkataramanan and Wells, Wendy A. and Paulsen, Keith D. and Pogue, Brian W. and Lopez-Higuera, Jose and Conde, Olga M.}}, booktitle = {{SPIE Photonics West BIOS, VI Biomedical Applications of Light Scattering}}, title = {{{Blind breast tissue diagnosis using independent component analysis of localized backscattering response}}}, year = {{2012}}, } @inproceedings{40807, abstract = {{The Strong Uncorrelating Transform (SUT) allows blind separation of a mixture of complex independent sources if and only if all sources have distinct circularity coefficients. In practice, the circularity coefficients need to be estimated from observed data. We propose a generalized likelihood ratio test (GLRT) for separability of a complex mixture using the SUT, based on estimated circularity coefficients. For distinct circularity coefficients (separable case), the maximum likelihood (ML) estimates, required for the GLRT, are straightforward. However, for circularity coefficients with multiplicity larger than one (non-separable case), the ML estimates are much more difficult to find. Numerical simulations show the good performance of the proposed detector.}}, author = {{Ramírez, D. and Schreier, P. J. and Vía, J. and Santamaría, I.}}, booktitle = {{Proc.\ IEEE Int.\ Work. Machine Learning for Signal Process.}}, title = {{{GLRT For Testing Separability Of A Complex-Valued Mixture Based On The Strong Uncorrelating Transform}}}, doi = {{10.1109/MLSP.2012.6349785}}, year = {{2012}}, } @inproceedings{40808, abstract = {{The monogenic signal allows us to decompose a two-dimensional real signal into a local amplitude, a local orientation, and a local phase. In this paper, we introduce the random monogenic signal and study its second-order statistical properties. The monogenic signal may be represented as a quaternion-valued signal. We show that for homogeneous random fields, we need exactly two quaternion-valued covariance functions for a complete second-order description. We also introduce a stochastic model for unidirectional signals and a measure of unidirectionality.}}, author = {{Olhede, S. C. and Ramírez, D. and Schreier, P. J.}}, booktitle = {{Proc.\ IEEE Int.\ Conf.\ Image Process.}}, title = {{{The Random Monogenic Signal}}}, doi = {{10.1109/ICIP.2012.6467404}}, year = {{2012}}, } @inproceedings{17228, abstract = {{The paper investigates the effects of a robot’s “on-line” feedback during a tutoring situation with a human tutor. Analysis is based on a study conducted with an iCub robot that autonomously generates its feedback (gaze, pointing gesture) based on the system’s perception of the tutor’s actions using the idea of reciprocity of actions. Sequential micro-analysis of two opposite cases reveals how the robot’s behavior (responsive vs. non-responsive) pro-actively shapes the tutor’s conduct and thus co-produces the way in which it is being tutored. A dialogic and a monologic tutoring style are distinguished. The first 20 seconds of an encounter are found to shape the user’s perception and expectations of the system’s competences and lead to a relatively stable tutoring style even if the robot’s reactivity and appropriateness of feedback changes.}}, author = {{Pitsch, Karola and Lohan, Katrin Solveig and Rohlfing, Katharina and Saunders, Joe and Nehaniv, Chrystopher L. and Wrede, Britta}}, booktitle = {{Proceedings of the 21TH IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN 2012)}}, pages = {{974--981}}, publisher = {{IEEE}}, title = {{{Better be reactive at the beginning. Implications of the first seconds of an encounter for the tutoring style in human-robot-interaction}}}, year = {{2012}}, } @article{26068, author = {{Luo, Kai Hong and Huang, Bo-Qiang and Zheng, Wei-Mou and Wu, Ling-An}}, issn = {{0256-307X}}, journal = {{Chinese Physics Letters}}, title = {{{Nonlocal Imaging by Conditional Averaging of Random Reference Measurements}}}, doi = {{10.1088/0256-307x/29/7/074216}}, year = {{2012}}, } @inproceedings{40813, abstract = {{In this paper, the problem of multiantenna spectrum sensing in cognitive radio (CR) is addressed within a Bayesian framework. Unlike previous works, our Bayesian model places priors directly on the spatial covariance matrices under both hypotheses, as well as on the probability of channel occupancy. Specifically, we use inverse-gamma and complex inverse-Wishart distributions as conjugate priors for the null and alternative hypotheses, respectively; and a Bernoulli distribution as the prior for channel occupancy. At each sensing period, Bayesian inference is applied and the posterior of channel occupancy is thresholded for detection. After a suitable approximation, the posteriors are employed as priors for the next sensing frame, which can be beneficial in slowly time-varying environments. By means of simulations, the proposed detector is shown to outperform the Generalized Likelihood Ratio Test (GLRT) detector.}}, author = {{Manco-Vásquez, J. and Lazaro-Gredilla, M. and Ramírez, D. and Vía, J. and Santamaría, I.}}, booktitle = {{Proc.\ IEEE Sensor Array and Multichannel Signal Process. Work.}}, title = {{{Bayesian Multiantenna Sensing for Cognitive Radio}}}, doi = {{10.1109/SAM.2012.6250566}}, year = {{2012}}, } @inproceedings{40816, abstract = {{Textural analysis of tissue scattering images is proposed for healthy versus tumor discrimination. Scattering center density varies from normal to tumor tissues and this variation is translated into different textures in the scattering power map. Adipose tissue shows low autocorrelation values while tumor tissues present higher entropies than normal tissue. Consequently, a combination of autocorrelation and entropy values allows ready tissue discrimination by a supervised linear classifier. The proposed approach has been validated over a set of 29 breast tissue samples achieving a sensitivity of 73.59% and specificity of 82.40%.}}, author = {{Eguizabal, Alma and Laughney, Ashley M. and Garcia-Allende, P. Beatriz and Krishnaswamy, Venkataramanan and Wells, Wendy A. and Paulsen, Keith D. and Pogue, Brian W. and Lopez-Higuera, Jose M. and Conde, Olga M.}}, booktitle = {{IEEE 9th International Symposium on Biomedical Imaging}}, title = {{{Textural analysis of optical scattering for identification of cancer in breast surgical specimens}}}, year = {{2012}}, } @inproceedings{40815, abstract = {{A surgeon-guided independent component analysis from optical reflectance measurements is proposed for breast tumor delineation. Independent Component Analysis is first applied to extract the most relevant features from local measures of broadband reflectance and then a tumor probability indicator is obtained and provided utilizing surgeon assistance to resolve the inherent ambiguities in the independent component calculation. A set of 29 breast tissue samples have been diagnosed achieving a sensitivity of 90.57%, and specificity of 93.98%.}}, author = {{Eguizabal, Alma and Laughney, Ashley M. and Garcia-Allende, P. Beatriz and Krishnaswamy, Venkataramanan and Wells, Wendy A. and Paulsen, Keith D. and Pogue, Brian W. and Lopez-Higuera, Jose M. and Conde, Olga M.}}, booktitle = {{IEEE 9th International Symposium on Biomedical Imaging}}, title = {{{ICA-guided delineation of breast cancer pathology}}}, year = {{2012}}, } @article{31738, author = {{Weise, D and Gentner, R and Zeller, D and Nagel, A and Reinsberger, Claus and Rumpf, JJ and Classen, J}}, issn = {{0028-3878}}, journal = {{Neurology}}, number = {{2}}, pages = {{122--128}}, title = {{{Focal hand dystonia: lack of evidence for abnormality of motor representation at rest.}}}, volume = {{78}}, year = {{2012}}, } @article{41984, author = {{Nayuk, R. and Zacher, D. and Schweins, R. and Wiktor, C. and Fischer, R. A. and van Tendeloo, G. and Huber, Klaus}}, issn = {{1932-7447}}, journal = {{The Journal of Physical Chemistry C}}, keywords = {{Surfaces, Coatings and Films, Physical and Theoretical Chemistry, General Energy, Electronic, Optical and Magnetic Materials}}, number = {{10}}, pages = {{6127--6135}}, publisher = {{American Chemical Society (ACS)}}, title = {{{Modulated Formation of MOF-5 Nanoparticles—A SANS Analysis}}}, doi = {{10.1021/jp3003728}}, volume = {{116}}, year = {{2012}}, } @inproceedings{42033, author = {{Rastelli, A and Ding, F and Plumhof, J.D and Kumar, S and Trotta, R and Deneke, C and Malachias, A and Atkinson, P and Zallo, E and Zander, T and Herklotz, A and Singh, R and Krápek, V and Schrötel, J.R and Kiravittaya, S and Benyoucef,, M and Hafenbrak, R and Jöns, Klaus D. and Thurmer, D.J and Grimm, D and Bester, G and Dörr, K and Michler, P and Schmidt, O.G}}, number = {{4}}, pages = {{687--696}}, title = {{{Controlling quantum dot emission by integration of semiconductor nanomembranes onto piezoelectric actuators}}}, volume = {{249}}, year = {{2012}}, } @inproceedings{42028, author = {{Hermannstädter, C and Witzany, M and Heldmaier, M and Hafenbrak, R and Jöns, Klaus D. and Beirne, G.J and Michler, P}}, title = {{{Polarization anisotropic luminescence of tunable single lateral quantum dot molecules}}}, volume = {{111}}, year = {{2012}}, }