Index Modulations, in the form of Spatial Modulation or Polarized Modulation, are gaining traction for both satellite and terrestrial next generation communication systems. Adaptive Spatial Modulation based links are needed to fully exploit the transmission capacity of time-variant channels. The adaptation of code and/or modulation requires a real-time evaluation of the channel achievable rates. Some existing results in the literature present a computational complexity which scales quadratically with the number of transmit antennas and the constellation order. Moreover, the accuracy of these approximations is low and it can lead to wrong Modulation and Coding Scheme selection. In this work we apply a Multilayer Feedforward Neural Network to compute the achievable rate of a generic Index Modulation link. The case of two antennas/polarizations is analyzed in depth, showing not only a one-hundred fold decrement of the Mean Square Error in the estimation of the capacity as compared with existing analytical approximations, but also a fifty times reduction of the computational complexity. Moreover, the extension to an arbitrary number of antennas is explained and supported with simulations. More generally, neural networks can be considered as promising candidates for the practical estimation of complex metrics in communication related settings.

%B IEEE Transactions on Communications %@ 1558-0857 %G eng %R https://doi.org/10.1109/TCOMM.2020.2974215 %0 Conference Paper %B 16th International Symposium on Wireless Communication Systems (ISWCS) %D 2019 %T Deep Learning Assisted Rate Adaptation in Spatial Modulation Links %A Anxo Tato %A Carlos Mosquera %K Deep Learning %K link adaptation %K Machine Learning %K Spatial Modulation %XThe adaptation of Spatial Modulation based links to the channel conditions is challenged by the complicated dependence between performance (either error rate metrics or theoretically achievable rates) and the multiple antenna channel description. In this paper a coding rate selection mechanism is presented based on a carefully selected set of channel features and the proper training of a deep neural network, which all together can satisfy a given error rate bound.

%B 16th International Symposium on Wireless Communication Systems (ISWCS) %C Oulu (Finland) %G eng %0 Conference Paper %B XoveTIC %D 2019 %T Efficient PRNU Matching in the Encrypted Domain %A Alberto Pedrouzo-Ulloa %A Miguel Masciopinto %A Juan Ramón Troncoso-Pastoriza %A Fernando Pérez-González %K camera attribution forensic analyzer %K digital media forensics %K lattice-based cryptosystems %K Photoresponse Non-Uniformity %B XoveTIC %I MDPI %C A Coruña, Spain %G eng %0 Journal Article %J IEEE Transactions on Information Forensics and Security %D 2019 %T Improving PRNU Compression Through Preprocessing, Quantization, and Coding %A L. Bondi %A P. Bestagini %A Fernando Pérez-González %A S. Tubaro %B IEEE Transactions on Information Forensics and Security %V 14 %P 13 %8 03/2019 %G eng %N 3 %& 608 %0 Thesis %B Universidade de Vigo %D 2019 %T Link Adaptation Techniques for Future Terrestrial and Satellite Communications %A Anxo Tato %XThe increasing demand of access to data from the users and the enormous number of connected devices requires to enhance the capacity of the wireless networks. They must provide a higher throughput to serve all the requested traffic and they must accommodate the vast number of the Internet of the Things (IoT) devices. In this context, this thesis focus its attention on three different scenarios which have in common that they are a future evolution of current terrestrial and satellite communications systems. These scenarios are Mobile Satellite Systems (MSS), Fixed Satellite Systems (FSS) and next generation 5G networks.

The adoption of Dual Polarization (DP) in MSS along with Multiple Input Multiple Output (MIMO) signal processing techniques allows to double the capacity of previous systems with the same bandwidth and transmit power. On the other hand, the shift to more aggressive frequency reuse patterns in FSS can also provide remarkable gains in the capacity of High Throughput Satellites (HTS) for offering BroadBand Satellite Services (BBS). Linear precoding stands out as a technique to cope with the high level of interference which arises in this scenario. Lastly, energy efficient modulation schemes, like Spatial Modulation (SM) and its many variants, are being proposed for increasing the capacity of future 5G networks since they represent a good trade-off between spectral efficiency, energy efficiency and transmitter complexity.

Adaptive Coding and Modulation (ACM) technology is omnipresent in most of the communication standards since it enables a better exploitation of the system capacity by means of the adaptation of the Modulation and Coding Scheme (MCS). The link adaptation algorithm is responsible for selecting the optimum MCS, as well as other physical layer parameters in some cases, to adapt the transmission bit rate according to the instantaneous channel capacity of the time variant channel. Thus, link adaptation algorithms permit to increase the spectrum efficiency and guarantee a robust communication, adapting the level of redundancy of the coded information bits and the ruggedness of the modulation scheme.

In this thesis, several link adaptation algorithms are proposed for the three considered scenarios and its effectiveness is supported with simulations. Furthermore, an experimental validation of some algorithms is provided using a real satellite link, implemented with Software Defined Radio (SDR) technology. It is also studied how the carrier detection errors in the Channel State Information (CSI) affect linear precoding in FSS. The errors in the users Signal to Interference and Noise Ratio (SINR) that the gateway calculates to allocate MCS to the users is analyzed statistically and geographically. Moreover, a link adaptation algorithm with an adaptive margin per user is shown to allow a robust communication in the presence of SINR errors whereas the throughput of the system is barely compromised. In addition, a new method for making capacity calculations in SM and Generalized SM systems based on a neural network is proposed, which improves both accuracy and computational complexity with regard to the existing analytical approximations in the literature. With regard to MSS using DP, an adaptation mechanism is proposed in order to select the optimum MIMO mode and MCS which offer the highest throughput. Simulation results in a maritime mobile satellite channel show the dependence of the optimum MIMO mode with the average Signal to Noise Ratio (SNR), and how the spectral efficiency can be maximized whereas a target outage probability can be guaranteed. Lastly, the adaptation in SM systems is also addressed and several methods for deciding the coding rate in SM are given. These include the computation of the capacity prior to the adaptation, and also the use of a deep neural network. The latter offers very good results, with a spectral efficiency very close to the maximum achievable value.

Generalized Spatial Modulation (GSM) is being considered for future high-capacity and energy efficient terrestrial networks. A variant such as Polarized Modulation (PMod) has also a role in Dual Polarization Mobile Satellite Systems. The implementation of adaptive GSM systems requires fast methods to evaluate the channel dependent GSM capacity, which amounts to solve multi-dimensional integrals without closed-form solutions. For this purpose, we propose the use of a Multilayer Feedforward Neural Network and an associated feature selection algorithm. The resulting method is highly accurate and with much lower complexity than alternative numerical methods.

%B 27th European Signal Processing Conference (EUSIPCO) %C A Coruña (Spain) %G eng %0 Conference Paper %B IEEE European Symposium on Security and Privacy (EuroS&P) %D 2019 %T Rethinking Location Privacy for Unknown Mobility Behaviors %A Simon Oya %A Carmela Troncoso %A Fernando Pérez-González %B IEEE European Symposium on Security and Privacy (EuroS&P) %G eng %0 Conference Paper %B ACM Information Hiding and Multimedia Security Workshop (IH&MMSec) %D 2019 %T Revisiting Multivariate Lattices for Encrypted Signal Processing %A Alberto Pedrouzo-Ulloa %A Juan Ramón Troncoso-Pastoriza %A Fernando Pérez-González %K homomorphic encryption %K Lattice-Based Cryptography %K Multidimensional Signal Processing %K Secure Signal Processing %B ACM Information Hiding and Multimedia Security Workshop (IH&MMSec) %I ACM %C Paris, France %G eng %0 Conference Paper %B 2nd XoveTIC Conference %D 2019 %T Spatial Modulation for Beyond 5G Communications: Capacity Calculation and Link Adaptation %A Anxo Tato %A Carlos Mosquera %K 5G %K adaptive coding and modulation %K Deep Learning %K link adaptation %K Machine Learning %K neural networks %K Spatial Modulation %B 2nd XoveTIC Conference %C A Coruña (Spain) %G eng %0 Conference Paper %B 2019 53rd Asilomar Conference on Signals, Systems, and Computers %D 2019 %T Spatial Modulation Link Adaptation: a Deep Learning Approach %A Anxo Tato %A Carlos Mosquera %B 2019 53rd Asilomar Conference on Signals, Systems, and Computers %C California %G eng %0 Conference Paper %B IEEE International Workshop on Information Forensics and Security (WIFS) %D 2018 %T Camera Attribution Forensic Analyzer in the Encrypted Domain %A Alberto Pedrouzo-Ulloa %A Miguel Masciopinto %A Juan Ramón Troncoso-Pastoriza %A Fernando Pérez-González %B IEEE International Workshop on Information Forensics and Security (WIFS) %I IEEE %C Hong Kong %G eng %1IEEE WIFS 2018 Best Paper Award

%0 Conference Paper %B ICCASP, IEEE International Conference on Acoustics, Speech, and Signal Processing %D 2018 %T Channel dependent Mutual Information in Index Modulations %A Pol Henarejos %A Ana Pérez-Neira %A Anxo Tato %A Carlos Mosquera %XMutual Information is the metric that is used to perform link adaptation, which allows to achieve rates near capacity. The computation of adaptive transmission modes is achieved by employing the mapping between the Signal to Noise Ratio and the Mutual Information. Due to the high complexity of the computation of the Mutual Information, this process is performed off-line via Monte Carlo simulations, whose results are stored in look-up tables. However, in Index Modulations, such as Spatial Modulation or Polarized Modulation, this is not feasible since the constellation and the Mutual Information are channel dependent and it would require to compute this metric at each time instant if the channel is time varying. In this paper, we propose different approximations in order to obtain a simple closed-form expression that allows to compute the Mutual Information at each time instant and thus, making feasible the link adaptation.

%B ICCASP, IEEE International Conference on Acoustics, Speech, and Signal Processing %G eng %0 Conference Paper %B 9th Advanced Satellite Multimedia Systems Conference (ASMS) and 15th Signal Processing for Space Communications Workshop (SPSC) %D 2018 %T Link Adaptation and Carriers Detection Errors in Multibeam Satellite Systems with Linear Precoding %A Anxo Tato %A Stefano Andrenacci %A Chatzinotas, S. %A Carlos Mosquera %XThe application of linear precoding at the gateway side enables broadband multibeam satellite systems to use more aggressive frequency reuse patterns increasing the overall capacity of future High Throughput Satellites (HTS). However, although some previous works about precoding consider imperfect CSIT (Chanel State Information at the Transmitter) adding some CSI estimation errors, that is not the main cause of CSI degradation. In practice, receivers can only detect and estimate a few coefficients of the CSI vector being the other nullified, replaced by zeros. This introduces errors in the SINR calculation by the gateway that lead to the assignment of Modulation and Coding Schemes (MCS) over the decoding possibilities of the users, increasing the rate of erroneous frames. In this work, the errors in the SINR calculation caused by the nullification of the CSI are analyzing statistically and geographically using a radiation diagram of 245 beams over Europe. Furthermore, a solution based on a link adaptation algorithm with a per user adaptive margin is proposed, helping to achieve the QEF (Quasi-error Free) target of DVB-S2X systems.

Best paper award

%0 Conference Proceedings %B XoveTIC Congress %D 2018 %T Software Defined Radio: A Brief Introduction %A Anxo Tato %XIn this short article the concept of Software Defined Radio (SDR) is introduced and compared with the traditional radio. Then, a research project of atlanTTic center which used this technology was briefly presented and lastly, we include a reference to some dissemination

activities related with SDR to be developed shortly.

The use of dual polarization in mobile satellite systems is

very promising as a means for increasing the transmission capacity. In this paper a system which uses simultaneously two orthogonal polarizations in order to communicate with the users is studied. The application of MIMO signal processing techniques along with Adaptive Coding and Modulation in the forward link can provide remarkable throughput gains up to 100 % when compared with the single polarization system. The gateway is allowed to vary the MIMO and Modulation and Coding Schemes for each frame. The selection is done by means of a link adaptation algorithm which uses a tunable margin to achieve a predefined target Frame Error Rate.

Compressed sensing deals with the reconstruction of signals

from sub-Nyquist samples by exploiting the sparsity of their

projections onto known subspaces. In contrast, the present

article is concerned with the reconstruction of second-order

statistics, such as covariance and power spectrum, even in

the absence of sparsity priors. The framework described here

leverages the statistical structure of random processes to

enable signal compression and offers an alternative perspective

at sparsity-agnostic inference. Capitalizing on parsimonious

representations, we illustrate how compression and reconstruction

tasks can be addressed in popular applications such

as power spectrum estimation, incoherent imaging, direction

of arrival estimation, frequency estimation, and wideband

spectrum sensing.

%B IEEE Signal Processing Magazine
%V 33
%P 78--93
%8 01/2016
%G eng
%N 1
%0 Journal Article
%J IEEE/ACM Transactions on Networking
%D 2016
%T Design of pool mixes against profiling attacks in real conditions
%A Simon Oya
%A Fernando Pérez-González
%A Carmela Troncoso
%K adversarial signal processing
%K compass
%B IEEE/ACM Transactions on Networking
%V 24
%P 3662-3675
%8 12/2016
%G eng
%N 6
%R 10.1109/TNET.2016.2547391
%0 Conference Paper
%B ACM Workshop on Information Hiding and Multimedia Security
%D 2016
%T Dynamic Privacy-Preserving Genomic Susceptibility Testing
%A Mina Namazi
%A Juan Ramón Troncoso-Pastoriza
%A Fernando Pérez-González
%B ACM Workshop on Information Hiding and Multimedia Security
%P 45-50
%8 06/2016
%G eng
%0 Conference Paper
%B IEEE International Workshop on Information Forensics and Security (WIFS)
%D 2016
%T Image denoising in the encrypted domain
%A Alberto Pedrouzo-Ulloa
%A Juan Ramón Troncoso-Pastoriza
%A Fernando Pérez-González
%K compass
%K homomorphic processing
%K Image Denoising
%K Image Encryption
%K lattice cryptography
%B IEEE International Workshop on Information Forensics and Security (WIFS)
%I IEEE
%C Abu Dhabi, UAE
%8 12/2016
%G eng
%0 Conference Paper
%B 8th Advanced Satellite Multimedia Systems Conference and 14th Signal Processing for Space Communications Workshop
%D 2016
%T Link adaptation in mobile satellite links: field trials results
%A Anxo Tato
%A Carlos Mosquera
%A Iago Gómez
%K compass
%K satcom
%B 8th Advanced Satellite Multimedia Systems Conference and 14th Signal Processing for Space Communications Workshop
%8 09/2016
%G eng
%0 Journal Article
%J IEEE Transactions on Signal Processing
%D 2016
%T Multiantenna GLR detection of rank-one signals with known power spectral shape under spatially uncorrelated noise
%A Josep Sala
%A Gonzalo Vázquez-Vilar
%A R. López-Valcarce
%A Saeid Sedighi
%A Abbas Taherpour
%K cognitive radio
%K compass
%X We establish the generalized likelihood ratio (GLR) test for a Gaussian signal of known power spectral shape and unknown rank-one spatial signature in additive white Gaussian noise with an unknown diagonal spatial correlation matrix. This is motivated by spectrum sensing problems in dynamic spectrum access (DSA), in which the temporal correlation of the primary signal can be assumed known up to a scaling, and where the noise is due to an uncalibrated receive array. For spatially independent identically distributed (i.i.d.) noise, the corresponding GLR test reduces to a scalar optimization problem, whereas the GLR detector in the general non-i.i.d. case yields a more involved expression, which can be computed via alternating optimization methods. Low signal-to-noise ratio (SNR) approximations to the detectors are given, together with an asymptotic analysis showing the influence on detection performance of the signal power spectrum and SNR distribution across antennas. Under spatial rank-P conditions, we show that the rank-one GLR detectors are consistent with a statistical criterion that maximizes the output energy of a beamformer operating on filtered data. Simulation results support our theoretical findings in that exploiting prior knowledge on the signal power spectrum can result in significant performance improvement.

%B IEEE Transactions on Signal Processing %V 64 %P 6269-6283 %8 12/2016 %G eng %N 23 %& 6269 %R 10.1109/TSP.2016.2601290 %0 Report %D 2016 %T Technical Report for ID TNET-2015-00294 “Optimal delay characteristic when the number of users is comparable to the number of rounds" %A Simon Oya %A Fernando Pérez-González %A Carmela Troncoso %G eng %0 Report %D 2016 %T Technical Report TSC/SO/24082016: Filter design for delay-based anonymous communications %A Simon Oya %A Fernando Pérez-González %A Carmela Troncoso %G eng %0 Conference Paper %B IEEE International Conference on Acoustics, Speech and Signal Processing %D 2015 %T Multivariate Lattices for Encrypted Image Processing %A Alberto Pedrouzo-Ulloa %A Juan Ramón Troncoso-Pastoriza %A Fernando Pérez-González %K homomorphic encryption %K lattice cryptography %K SPED %B IEEE International Conference on Acoustics, Speech and Signal Processing %I IEEE %C Brisbane, Australia %8 04/2015 %G eng %0 Conference Paper %B IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC %D 2015 %T Robust Adaptive Coding and Modulation Scheme for the Mobile Satellite Forward Link %A Alberto Rico-Alvariño %A Anxo Tato %A Carlos Mosquera %K compass %K satcom %B IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC %G eng %0 Conference Paper %B Media Watermarking, Security, and Forensics %D 2014 %T Are you threatening me? Towards smart detectors in watermarking %A Mauro Barni %A Pedro Comesaña %A Fernando Pérez-González %A Benedetta Tondi %K adversarial signal processing %K watermarking %B Media Watermarking, Security, and Forensics %I SPIE %C San Francisco, CA, USA %8 02/2014 %G eng %R 10.1117/12.2036415 %0 Conference Paper %B IEEE International Workshop on Information Forensics and Security (WIFS) %D 2014 %T Bootstrap-based Proxy Reencryption for Private Multi-user Computing %A Juan Ramón Troncoso-Pastoriza %A Serena Caputo %K SPED %B IEEE International Workshop on Information Forensics and Security (WIFS) %I IEEE %C Atlanta, GA %8 12/2014 %G eng %0 Conference Paper %B Privacy Enhancing Technologies Symposium %D 2014 %T Do dummies pay off? Limits of dummy traffic protection in anonymous communications %A Simon Oya %A Carmela Troncoso %A Fernando Pérez-González %K anonymous communications %K compass %K disclosure attacks %K dummies %B Privacy Enhancing Technologies Symposium %G eng %0 Journal Article %J IEEE Transactions on Information Forensics and Security %D 2014 %T A Least Squares Approach to the Static Traffic Analysis of High-Latency Anonymous Communication Systems %A Fernando Pérez-González %A Carmela Troncoso %A Simon Oya %B IEEE Transactions on Information Forensics and Security %G eng %R 10.1109/TIFS.2014.2330696 %0 Conference Paper %B IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) %D 2014 %T Power spectrum blind sampling using optimal multicoset sampling patterns in the MSE sense %A Bamrung TauSiesakul %A Nuria González-Prelcic %K cognitive radio %K dynacs %B IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) %G eng %R 10.1109/ICASSP.2014.6853758 %0 Report %D 2014 %T Technical Report TSC/FPG/20032014: Performance Analysis of the Least Squares Disclosure Attack with Time-Varying User Behavior %A Fernando Pérez-González %A Carmela Troncoso %A Simon Oya %G eng %0 Report %D 2014 %T Technical Report TSC/SO/02052014: Derivation of the Mean Squared Error of the Least Squares Estimator in a Timed Pool Mix with Dummy Traffic %A Simon Oya %A Carmela Troncoso %A Fernando Pérez-González %G eng %0 Report %D 2014 %T Technical Report UV/TSC/APU/02102014: Multivariate Ring Learning with Errors %A Alberto Pedrouzo-Ulloa %A Juan Ramón Troncoso-Pastoriza %A Fernando Pérez-González %I University of Vigo %G eng %0 Conference Paper %B IEEE Workshop on Information Forensics and Security %D 2014 %T Understanding the Effects of Real-World Behavior in Statistical Disclosure Attacks %A Simon Oya %A Carmela Troncoso %A Fernando Pérez-González %B IEEE Workshop on Information Forensics and Security %G eng %0 Journal Article %J IEEE Transactions on Information Forensics and Security %D 2013 %T Fully Private Noninteractive Face Verification %A Juan Ramón Troncoso-Pastoriza %A Daniel González-Jiménez %A Fernando Pérez-González %K SPED %B IEEE Transactions on Information Forensics and Security %V 8 %P 1101-1114 %8 07/2013 %G eng %N 7 %1To appear

%0 Report %D 2013 %T Least Squares Disclosure Attacks: User Profiling for Mix-based Anonymous Communication Systems %A Fernando Pérez-González %A Carmela Troncoso %I University of Vigo %C Vigo %8 01/2013 %G eng %0 Conference Paper %B GlobalSIP %D 2013 %T Meet the Family of Statistical Disclosure Attacks %A Simon Oya %A Carmela Troncoso %A Fernando Pérez-González %B GlobalSIP %8 12/2013 %G eng %1Submitted

%0 Conference Paper %B Asilomar Conference on Signals, Systems and Computers %D 2013 %T Power Spectrum Blind Sampling Using Minimum Mean Square Error and Weighted Least Squares %A Bamrung TauSiesakul %A Nuria González-Prelcic %K cognitive radio %K dynacs %B Asilomar Conference on Signals, Systems and Computers %8 11/2013 %G eng %R 10.1109/ACSSC.2013.6810249 %0 Journal Article %J IEEE Signal Processing Magazine %D 2013 %T Privacy-Preserving Data Aggregation in Smart Metering Systems: An Overview %A Zekeriya Erkin %A Juan Ramón Troncoso-Pastoriza %A Reginald Lagendijk %A Fernando Pérez-González %K SPED %B IEEE Signal Processing Magazine %V 30 %P 75-86 %8 03/2013 %G eng %N 2 %0 Journal Article %J IEEE Signal Processing Magazine %D 2013 %T Secure Signal Processing in the Cloud: enabling technologies for privacy-preserving multimedia cloud processing %A Juan Ramón Troncoso-Pastoriza %A Fernando Pérez-González %K SPED %B IEEE Signal Processing Magazine %V 30 %P 29-41 %8 03/2013 %G eng %N 2 %0 Thesis %D 2012 %T Encrypted Domain Processing for Signal Processing Applications %A Juan Ramón Troncoso-Pastoriza %I University of Vigo %C Vigo %8 04/2012 %G eng %0 Conference Paper %B IEEE International Conference on Image Processing (ICIP) %D 2012 %T Fully Homomorphic Faces %A Juan Ramón Troncoso-Pastoriza %A Fernando Pérez-González %K face verification %K homomorphic processing %K lattice cryptography %K privacy %K watermarking %B IEEE International Conference on Image Processing (ICIP) %I IEEE %C Lake Buena Vista, Florida, USA %8 10/2012 %G eng %0 Conference Paper %B IEEE International Workshop on Information Forensics and Security (WIFS) %D 2012 %T A Least Squares approach to user profiling in pool mix-based anonymous communication systems. %A Fernando Pérez-González %A Carmela Troncoso %B IEEE International Workshop on Information Forensics and Security (WIFS) %C Tenerife, Spain %P 115–120 %8 12/2012 %G eng %0 Conference Paper %B Privacy Enhancing Technologies Symposium (PETS) %D 2012 %T Understanding statistical disclosure: A least squares approach %A Fernando Pérez-González %A Carmela Troncoso %B Privacy Enhancing Technologies Symposium (PETS) %C Vigo, Spain %P 38–57 %8 07/2012 %G eng %0 Conference Paper %B IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) %D 2011 %T Efficient Protocols for Secure Adaptive Filtering %A Juan Ramón Troncoso-Pastoriza %A Fernando Pérez-González %K adaptive filtering %K privacy %K security %K watermarking %B IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) %I IEEE %C Prage, Czech Republic %P 5860-5863 %8 May %G eng %0 Conference Paper %B International Conference on Cloud Computing and Services Science (CLOSER) %D 2011 %T Encrypted Domain Processing for Cloud Privacy: Concept and Practical Experience %A Daniel A. Rodríguez-Silva %A F. Javier González-Castaño %A Lilian Adkinson-Orellana %A Alexandre Fernández-Cordeiro %A Juan Ramón Troncoso-Pastoriza %A Daniel González-Martínez %K cloud %K privacy %K security %K watermarking %B International Conference on Cloud Computing and Services Science (CLOSER) %C Noordwijkerhout, The Netherlands %8 May %G eng %0 Conference Paper %B IEEE GLOBECOM %D 2011 %T Hybrid Space-Ground Processing for High-Capacity Multi-beam Satellite Systems %A Arnau, Jesus %A Michael Bergmann %A Enzo Alberto Candreva %A Giovanni Emanuele Corazza %A Riccardo {De Gaudenzi} %A Bertrand Devillers %A Wilfried Gappmair %A Francesco Lombardo %A C. Mosquera %A Ana Pérez-Neira %A Ilaria Thibault %A Alessandro Vanelli-Coralli %B IEEE GLOBECOM %C Houston, Texas, USA %8 dec %G eng %0 Journal Article %J IEEE Transactions on Information Forensics and Security %D 2011 %T Secure Adaptive Filtering %A Juan Ramón Troncoso-Pastoriza %A Fernando Pérez-González %K adaptive signal processing %K computational complexity %K cryptography %K digital data protection %K encrypted domain %K homomorphic encryption systems %K least mean squares algorithm %K least mean squares methods %K privacy %K secure adaptive filtering %K security %K signal privacy preservation %K SPED techniques %K watermarking %B IEEE Transactions on Information Forensics and Security %V 6 %P 469 -485 %8 June %G eng %R 10.1109/TIFS.2011.2109385 %0 Conference Paper %B International Workshop on Cloud Information System Engineering (CISE) %D 2010 %T CryptoDSPs for Cloud Privacy %A Juan Ramón Troncoso-Pastoriza %A Fernando Pérez-González %K cloud %K privacy %K security %K watermarking %B International Workshop on Cloud Information System Engineering (CISE) %S LNCS %C Hong Kong, China %V 6724 %8 December %G eng %0 Conference Paper %B IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) %D 2010 %T A new model for Gabor Coefficients' Magnitude in Face Recognition %A Juan Ramón Troncoso-Pastoriza %A Daniel González-Jiménez %A Fernando Pérez-González %K Gabor coefficients %K generalized Gaussian %K Magnitude %K Quantization %K Statistical Model %K watermarking %B IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) %I IEEE %C Dallas, USA %8 March %G eng %0 Conference Paper %B Virtual Physiological Human (VPH) %D 2010 %T Secure and Private Medical Clouds using Encrypted Processing %A Juan Ramón Troncoso-Pastoriza %A Fernando Pérez-González %K cloud %K privacy %K security %K watermarking %B Virtual Physiological Human (VPH) %C Brussels, Belgium %8 October %G eng %0 Conference Paper %B Signal Processing in the Encrypted Domain (SPEED) Workshop %D 2009 %T Secure Direct and Iterative Protocols for Solving Systems of Linear Equations %A Juan Ramón Troncoso-Pastoriza %A Pedro Comesaña %A Fernando Pérez-González %K iterative protocol %K privacy %K security %K systems of linear equations %K watermarking %B Signal Processing in the Encrypted Domain (SPEED) Workshop %C Lausanne, Switzerland %P 122–141 %8 September %G eng %0 Conference Paper %B IEEE International Conference on Image Processing (ICIP) %D 2009 %T Skewed Log-Stable model for natural images pixel block-variance %A Juan Ramón Troncoso-Pastoriza %A Fernando Pérez-González %K Doubly stochastic model %K Image block-variance %K Log-stable distribution %K Lognormal distribution %K watermarking %B IEEE International Conference on Image Processing (ICIP) %I IEEE %C Cairo, Egypt %8 November %G eng %0 Conference Paper %B ACM Workshop on Digital Rights Management (DRM) %D 2009 %T Videosurveillance and privacy: covering the two sides of the mirror with DRM %A Juan Ramón Troncoso-Pastoriza %A Pedro Comesaña %A Luis Pérez-Freire %A Fernando Pérez-González %K access control %K privacy %K rights management %K security %K videosurveillance %K watermarking %B ACM Workshop on Digital Rights Management (DRM) %I ACM %C Chicago, IL, USA %8 November %G eng %0 Conference Paper %B Security, Steganography, and Watermarking of Multimedia Contents %D 2007 %T Efficient Non-Interactive Zero-Knowledge Watermark Detector Robust to Sensitivity Attacks %A Juan Ramón Troncoso-Pastoriza %A Fernando Pérez-González %E Edward J. Delp %E Ping W. Wong %K data-hiding %K sensitivity %K watermarking %K zero-knowledge %B Security, Steganography, and Watermarking of Multimedia Contents %S Proc. of SPIE %I SPIE %C San Jose, California, USA %8 January %G eng %0 Journal Article %J EURASIP Journal on Information Security %D 2007 %T Efficient Zero-Knowledge Watermark Detection with Improved Robustness to Sensitivity Attacks %A Juan Ramón Troncoso-Pastoriza %A Fernando Pérez-González %K data-hiding %K sensitivity %K watermarking %K zero-knowledge %B EURASIP Journal on Information Security %G eng %0 Conference Paper %B ACM Conference on Computer and Communications Security (CCS) %D 2007 %T Privacy Preserving Error Resilient DNA Searching through Oblivious Automata %A Juan Ramón Troncoso-Pastoriza %A Stefan Katzenbeisser %A Mehmet Celik %K DNA %K privacy %K security %K watermarking %B ACM Conference on Computer and Communications Security (CCS) %I ACM Press %C Alexandria, Virginia, USA %P 519–528 %8 Oct 29–Nov 2 %G eng %0 Conference Paper %B ACM Workshop on Multimedia and Security (MMSEC) %D 2007 %T A Secure Multidimensional Point Inclusion Protocol %A Juan Ramón Troncoso-Pastoriza %A Stefan Katzenbeisser %A Mehmet Celik %A Aweke Lemma %K multiparty computation %K privacy %K security %K watermarking %B ACM Workshop on Multimedia and Security (MMSEC) %C Dallas, Texas, USA %P 109–120 %8 September %G eng %0 Conference Paper %B International Workshop on Multimedia Content Representation, Classification and Security %D 2006 %T A novel model for the print-and-capture channel in 2D bar codes %A Alberto Malvido %A Fernando Pérez-González %A Armando Cousiño %E Bilge Gunsel %E Anil K. Jain %E A. Murat Tekalp %E Bülent Sankur %K bar-codes %K visible-encryption %B International Workshop on Multimedia Content Representation, Classification and Security %S Lecture Notes in Computer Science %I Springer-Verlag Heidelberg %C Istambul, Turkey %V 4105 %P 627-634 %8 September %G eng %0 Journal Article %J Transactions on Data Hiding and Multimedia Security I %D 2006 %T Watermarking security: a survey %A Luis Pérez-Freire %A Pedro Comesaña %A Juan Ramón Troncoso-Pastoriza %A Fernando Pérez-González %K data-hiding %K security %K watermarking %B Transactions on Data Hiding and Multimedia Security I %V 4300 %P 41-72 %8 October %G eng %0 Conference Paper %B ACM Workshop on Multimedia and Security (MMSEC) %D 2006 %T Zero-Knowledge watermark detector robust to sensitivity attacks %A Juan Ramón Troncoso-Pastoriza %A Fernando Pérez-González %K data-hiding %K watermarking %K zero-knowledge %B ACM Workshop on Multimedia and Security (MMSEC) %I ACM %C Geneva, Switzerland %P 97-107 %8 September %G eng %0 Conference Paper %B Conference on Communications and Multimedia Security (CMS) %D 2005 %T On reversibility of random binning techniques: multimedia perspectives %A Sviatoslav Voloshynovskiy %A Oleksiy Koval %A E. Topak %A Jose Emilio Vila-Forcén %A Pedro Comesaña %A Thierry Pun %K data-hiding %K watermarking %B Conference on Communications and Multimedia Security (CMS) %S Lecture Notes in Computer Science %I Springer-Verlag Heidelberg %C Salzburg, Austria %8 September %G eng %0 Conference Paper %B IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) %D 2002 %T Spectral characterization of feedback linear periodically time-varying systems %A C. Mosquera %A Sandro Scalise %A G. Taricco %K burst %K inversion %K LPTV %K PLL %B IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) %G eng %0 Journal Article %J IEEE Journal on Selected Areas in Communications %D 2001 %T Time-transfer performance in burst-mode communication systems %A C. Mosquera %A Sandro Scalise %A G. Taricco %A G. Garofalo %A D. Giunta %K burst %K PLL %K synchronization %B IEEE Journal on Selected Areas in Communications %V 19 %P 2310-2319 %8 dec %G eng %0 Conference Paper %B International Workshop on Digital Signal Processing Techniques for Space Communications (DSP) %D 2001 %T Time-transfer performance in burst-mode communication systems %A C. Mosquera %A Sandro Scalise %A G. Taricco %A D. Giunta %K burst %K PLL %K synchronization %B International Workshop on Digital Signal Processing Techniques for Space Communications (DSP) %G eng %0 Journal Article %J IEEE Transactions on Signal Processing %D 2000 %T Exponential asymptotic stability of time-varying inverse prediction error filters %A R. López-Valcarce %A Soura Dasgupta %A Roberto Tempo %A Minyue Fu %K nonstationary processes %K prediction error filters %K stability %B IEEE Transactions on Signal Processing %V 48 %P 1928–1936 %8 July %G eng %0 Conference Paper %B IEEE Conference on Decision and Control (CDC) %D 1998 %T Stability conditions for the time-varying linear predictor %A R. López-Valcarce %A Soura Dasgupta %A Minyue Fu %A Roberto Tempo %K nonstationary processes %K prediction error filters %K stability %B IEEE Conference on Decision and Control (CDC) %C Tampa, FL, USA %P 1840–1845 %8 December %G eng