This work addresses the problem of determining whether two multivariate random time series have the same power spectral density

(PSD), which has applications, for instance, in physical-layer security and cognitive radio. Remarkably, existing detectors for this

problem do not usually provide any kind of optimality. Thus, we study here the existence under the Gaussian assumption of optimal

invariant detectors for this problem, proving that the uniformly most powerful invariant test (UMPIT) does not exist. Thus, focusing on

close hypotheses, we show that the locally most powerful invariant test (LMPIT) only exists for univariate time series. In the multivariate

case, we prove that the LMPIT does not exist. However, this proof suggests two LMPIT-inspired detectors, one of which outperforms

previously proposed approaches, as computer simulations show.

JF - IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
CY - Calgary, Canada
ER -
TY - JOUR
T1 - Testing equality of multiple power spectral density matrices
JF - IEEE Trans. Signal Processing
Y1 - 2018
A1 - David Ramírez
A1 - Daniel Romero
A1 - Javier Vía
A1 - R. López-Valcarce
A1 - Ignacio Santamaría
KW - winter
VL - 66
IS - 23
ER -
TY - CONF
T1 - Co-creating Security-and-Privacy-by-Design Systems
T2 - International Conference on Availability, Reliability and Security (ARES)
Y1 - 2016
A1 - Sauro Vicini
A1 - Francesco Alberti
A1 - Nicolás Notario
A1 - Alberto Crespo
A1 - Juan Ramón Troncoso-Pastoriza
A1 - Alberto Sanna
JF - International Conference on Availability, Reliability and Security (ARES)
CY - Salzburg, Germany
ER -
TY - CONF
T1 - Distributed multivariate regression with unknown noise covariance in the presence of outliers: a minimum description length approach
T2 - IEEE Workshop on Statistical Signal Processing (SSP)
Y1 - 2016
A1 - R. López-Valcarce
A1 - Daniel Romero
A1 - Josep Sala
A1 - Alba Pagès-Zamora
KW - compass
KW - wsn
AB - We consider the problem of estimating the coefficients in a multivariable linear model by means of a wireless sensor network

which may be affected by anomalous measurements. The noise covariance matrices at the different sensors are assumed

unknown. Treating outlying samples, and their support, as additional nuisance parameters, the Maximum Likelihood

estimate is investigated, with the number of outliers being estimated according to the Minimum Description Length

principle. A distributed implementation based on iterative consensus techniques is then proposed, and it is shown effective

for managing outliers in the data.

JF - IEEE Workshop on Statistical Signal Processing (SSP)
CY - Palma de Mallorca, Spain
ER -
TY - CONF
T1 - Forensics of high quality and nearly identical JPEG image recompression
T2 - ACM Workshop on Information Hiding and Multimedia Security
Y1 - 2016
A1 - Cecilia Pasquini
A1 - Pascal Schoettle
A1 - Rainer Bohme
A1 - Giulia Boato
A1 - Fernando Pérez-González
JF - ACM Workshop on Information Hiding and Multimedia Security
ER -
TY - JOUR
T1 - Multiantenna GLR detection of rank-one signals with known power spectral shape under spatially uncorrelated noise
JF - IEEE Transactions on Signal Processing
Y1 - 2016
A1 - Josep Sala
A1 - Gonzalo Vázquez-Vilar
A1 - R. López-Valcarce
A1 - Saeid Sedighi
A1 - Abbas Taherpour
KW - cognitive radio
KW - compass
AB - 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.

VL - 64 IS - 23 ER - TY - JOUR T1 - An overview of signal processing techniques for millimeter wave MIMO systems JF - IEEE J. Selected Topics in Signal Processing. Special issue on Signal Processing for Millimeter Wave Wireless Communications Y1 - 2016 A1 - Robert W. Heath Jr. A1 - Nuria González-Prelcic A1 - Sundeep Rangan A1 - Wonil Roh A1 - Akbar M. Sayeed KW - compass KW - mmWave AB -Communication at millimeter wave (mmWave) frequencies is defining a new era of wireless communication. The mmWave band offers higher bandwidth communication channels versus those presently used in commercial wireless systems. The applications of mmWave are immense: wireless local and personal area networks in the unlicensed band, 5G cellular systems, not to mention vehicular area networks, ad hoc networks, and wearables. Signal processing is critical for enabling the next generation of mmWave communication. Due to the use of large antenna arrays at the transmitter and receiver, combined with radio frequency and mixed signal power constraints, new multiple-input multiple-output (MIMO) communication signal processing techniques are needed. Because of the wide bandwidths, low complexity transceiver algorithms become important. There are opportunities to exploit techniques like compressed sensing for channel estimation and beamforming. This article provides an overview of signal processing challenges in mmWave wireless systems, with an emphasis on those faced by using MIMO communication at higher carrier frequencies.

VL - 10 IS - 3 ER - TY - CONF T1 - Pushing for higher rates and efficiency in Satcom: the different perspectives within SatNExIV T2 - Twelfth International Symposium on Wireless Communication Systems (ISWCS) Y1 - 2015 A1 - Miguel Ángel Vázquez A1 - Ana Pérez Neira A1 - Carlos Mosquera A1 - Bhavani Shankar A1 - Pol Henarejos A1 - Athanasios Panagopoulos A1 - Giovanni Giambene A1 - Vasilios Siris A1 - George Polyzos A1 - Nader Alagha KW - satcom JF - Twelfth International Symposium on Wireless Communication Systems (ISWCS) CY - Brussels ER - TY - JOUR T1 - Active Interference Cancellation for OFDM Spectrum Sculpting: Linear Processing is Optimal JF - IEEE Communications Letters Y1 - 2014 A1 - Schmidt, J.F. A1 - Daniel Romero A1 - R. López-Valcarce KW - cognitive radio KW - compass KW - dynacs AB -Active interference cancellation (AIC) is a multicarrier spectrum sculpting technique which reduces the power of undesired out-of-band emissions by adequately modulating a subset of reserved cancellation subcarriers. In most schemes online complexity is a concern, and thus cancellation subcarriers have traditionally been constrained to linear combinations of the data subcarriers. Recent AIC designs truly minimizing out-of-band emission shift complexity to the offline design stage, motivating the consideration of more general mappings to improve performance. We show that there is no loss in optimality incurred by constraining these mappings to the set of linear functions.

VL - 18 IS - 9 ER - TY - CONF T1 - Antenna competition to boost Active Interference Cancellation in cognitive MIMO-OFDM T2 - IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM) Y1 - 2014 A1 - Schmidt, J.F. A1 - R. López-Valcarce KW - cognitive radio KW - dynacs AB - Active Interference Cancellation (AIC) techniques for OFDM spectrum sculpting have gained interest over the last years, and several extensions to the MIMO case have been recently proposed. However, these designs do not fully exploit the spatial diversity provided by the multiple transmit antennas, as canceler allocation is fixed. This paper proposes a more general mechanism for the allocation of the cancellation subcarriers across antennas in order to better exploit spatial diversity. In particular, we present a novel AIC design for cognitive MIMOOFDM systems, in which transmit antennas compete against each other for a fixed number of cancellation subcarriers. We show that this more general allocation approach results in significant performance improvements with respect to previous designs. JF - IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM) CY - A Coruña, Spain ER - TY - CONF T1 - Channel estimation in millimeter wave MIMO systems with one-bit quantization T2 - Asilomar Conf. on Signals, Systems and Computers Y1 - 2014 A1 - Jianhua Mo A1 - Phil Schniter A1 - Nuria González-Prelcic A1 - Robert W. Heath Jr. KW - adaptive signal processing KW - compass KW - mmWave JF - Asilomar Conf. on Signals, Systems and Computers ER - TY - CONF T1 - Detecting Misreporting Attacks to the Proportional Fair Scheduler T2 - IEEE Workshop on Information Forensics and Security (WIFS) Y1 - 2014 A1 - Schmidt, J.F. A1 - R. López-Valcarce KW - adversarial signal processing KW - compass AB -

The Proportional Fair Scheduler (PFS) has become

a popular channel-aware resource allocation method in wireless

networks, as it effectively exploits multiuser diversity while

providing fairness to users. PFS decisions on which mobile station

(MS) to schedule next are based on Channel Quality Indicator

(CQI) values. Since CQI values are reported by the MSs to the

scheduler, network performance can be severely degraded if some

malicious MSs report forged information. Previous approaches to

this security issue are based either on modifying PFS, which may

be undesirable in some contexts, or authenticating CQI reports

by periodic transmission of challenges, which increases overhead.

Instead, we propose to detect misreporting attackers, based on the

time correlation features of the wireless channel. Our approach

does not require scheduler modification, and it does not increase

overhead. Simulation results under realistic settings are provided

to show the effectiveness of the proposed test.

JF - IEEE Workshop on Information Forensics and Security (WIFS)
CY - Atlanta, USA
ER -
TY - CONF
T1 - Low-Power Active Interference Cancellation for OFDM Spectrum Sculpting
T2 - European Signal Processing Conference (EUSIPCO)
Y1 - 2014
A1 - Schmidt, J.F.
A1 - Daniel Romero
A1 - R. López-Valcarce
AB - We present a low-power design for Active Interference

Cancellation (AIC) sculpting of the OFDM spectrum, based

on sparse design concepts. Optimal AIC designs compute

cancellation weights based on contributions from all data subcarriers.

Thus, as the number of subcarriers grows, power

consumption becomes a concern, and suboptimal solutions

that avoid involving all subcarriers are of interest. In this context,

we present novel sparse AIC designs based on a zeronorm

minimization of the matrix defining the cancellation

weights. These designs drastically reduce the number of operations

per symbol, and thus the power consumption, while allowing

to tune the loss with respect the optimal design. They

can be efficiently obtained and significantly outperform usual

thresholding or sparsity-inducing l_1-norm minimization approaches.

JF - European Signal Processing Conference (EUSIPCO)
UR - http://www.eurasip.org/Proceedings/Eusipco/Eusipco2014/HTML/papers/1569912103.pdf
ER -
TY - CONF
T1 - OFDM spectrum sculpting with active interference cancellation: Keeping spectral spurs at bay
T2 - IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
Y1 - 2014
A1 - Schmidt, J.F.
A1 - R. López-Valcarce
KW - cognitive radio
KW - dynacs
JF - IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
PB - IEEE
CY - Florence, Italy
ER -
TY - JOUR
T1 - Choose Your Subcarriers Wisely: Active Interference Cancellation for Cognitive OFDM
JF - IEEE Journal on Emerging and Selected Topics in Circuits and Systems
Y1 - 2013
A1 - Schmidt, J.F.
A1 - Costas-Sanz, S.
A1 - R. López-Valcarce
KW - cognitive radio
KW - dynacs
VL - 3
IS - 4
ER -
TY - JOUR
T1 - On the design of a novel two-objective harmony search approach for distance- and connectivity-based localization in wireless sensor networks
JF - Engineering Applications of Artificial Intelligence
Y1 - 2013
A1 - Diana Manjarres
A1 - Javier Del Ser
A1 - Sergio Gil-Lopez
A1 - Massimo Vecchio
A1 - Itziar Landa-Torres
A1 - Sancho Salcedo-Sanz
A1 - R. López-Valcarce
KW - dynacs
KW - wsn
VL - 26
IS - 2
ER -
TY - JOUR
T1 - Lattice implementation of adaptive channel shortening in multicarrier transmission over IIR channels
JF - EURASIP Journal on Advances in Signal Processing
Y1 - 2013
A1 - E. Ben Salem
A1 - S. Cherif
A1 - H. Besbes
A1 - R. López-Valcarce
VL - 2013:174
UR - http://asp.eurasipjournals.com/content/2013/1/174
ER -
TY - CONF
T1 - Low Complexity Primary User Protection for Cognitive OFDM
T2 - European Signal Processing Conf. (EUSIPCO), Marrakech (Morocco)
Y1 - 2013
A1 - Schmidt, J.F.
A1 - R. López-Valcarce
KW - cognitive radio
KW - dynacs
JF - European Signal Processing Conf. (EUSIPCO), Marrakech (Morocco)
ER -
TY - JOUR
T1 - A novel heuristic approach for distance- and connectivity-based multihop node localization in wireless sensor networks
JF - Soft Computing
Y1 - 2013
A1 - Diana Manjarres
A1 - Javier Del Ser
A1 - Sergio Gil-Lopez
A1 - Massimo Vecchio
A1 - Itziar Landa-Torres
A1 - R. López-Valcarce
KW - dynacs
KW - wsn
VL - 17
IS - 1
ER -
TY - CONF
T1 - Detection of Gaussian signals in unknown time-varying channels
T2 - IEEE Statistical Signal Processing Workshop (SSP 2012)
Y1 - 2012
A1 - Daniel Romero
A1 - Javier Vía
A1 - R. López-Valcarce
A1 - Ignacio Santamaría
KW - cognitive radio
KW - dynacs
KW - spectrum sensing
AB - Detecting the presence of a white Gaussian signal distorted by a noisy time-varying channel is addressed by means of three different detectors. First, the generalized likelihood ratio test (GLRT) is found for the case where the channel has no temporal structure, resulting in the well-known Bartlett’s test. Then it is shown that, under the transformation group given by scaling factors, a locally most powerful invariant test (LMPIT) does not exist. Two alternative approaches are explored in the low signal-to-noise ratio (SNR) regime: the first assigns a prior probability density function (pdf) to the channel (hence modeled as random), whereas the second assumes an underlying basis expansion model (BEM) for the (now deterministic) channel and obtains the maximum likelihood (ML) estimates of the parameters relevant for the detection problem. The performance of these detectors is evaluated via Monte Carlo simulation.

JF - IEEE Statistical Signal Processing Workshop (SSP 2012)
PB - IEEE
CY - Ann Arbor, MI
ER -
TY - JOUR
T1 - Multiantenna GLR detection of rank-one signals with known power spectrum in white noise with unknown spatial correlation
JF - IEEE Trans. on Signal Processing
Y1 - 2012
A1 - Josep Sala
A1 - Gonzalo Vázquez-Vilar
A1 - R. López-Valcarce
KW - cognitive radio
KW - dynacs
AB - Multiple-antenna detection of a Gaussian signal with spatial rank one in temporally white Gaussian noise with arbitrary and unknown spatial covariance is considered. This is motivated by spectrum sensing problems in the context of Dynamic Spectrum Access in which several secondary networks coexist but do not cooperate, creating a background of spatially correlated broadband interference. When the temporal correlation of the signal of interest is assumed known up to a scale factor, the corresponding Generalized Likelihood Ratio Test is shown to yield a scalar optimization problem. Closed-form expressions of the test are obtained for the general signal spectrum case in the low signal-to-noise ratio (SNR) regime, as well as for signals with binary-valued power spectrum in arbitrary SNR. The two resulting detectors turn out to be equivalent. An asymptotic approximation to the test distribution for the low-SNR regime is derived, closely matching empirical results from spectrum sensing simulation experiments.

VL - 60
IS - 6
ER -
TY - CONF
T1 - On the Application of a Hybrid Harmony Search Algorithm to Node Localization in Anchor-based Wireless Sensor Networks
T2 - IEEE International Conference on Intelligent Systems Design and Applications (ISDA)
Y1 - 2011
A1 - Diana Manjarres
A1 - Javier Del Ser
A1 - Sergio Gil-Lopez
A1 - Massimo Vecchio
A1 - Itziar Landa-Torres
A1 - R. López-Valcarce
JF - IEEE International Conference on Intelligent Systems Design and Applications (ISDA)
ER -
TY - JOUR
T1 - Bit Loading Using Imperfect CSIT for Prediction-Based Resource Allocation in Mobile OFDMA
JF - Vehicular Technology, IEEE Transactions on
Y1 - 2011
A1 - Schmidt, J.F.
A1 - Cousseau, J.E.
A1 - Wichman, R.
A1 - Werner, S.
KW - bit loading
KW - channel state information in the transmitter
KW - CSIT
KW - frequency division multiple access
KW - imperfect channel prediction information
KW - mobile OFDMA
KW - mobile radio
KW - mobile stations
KW - OFDM modulation
KW - orthogonal frequency division multiple access
KW - prediction error
KW - prediction-based resource allocation
KW - radio transmitters
KW - time-varying channels
KW - wireless channel
VL - 60
ER -
TY - JOUR
T1 - Detection of Rank-P Signals in Cognitive Radio Networks With Uncalibrated Multiple Antennas
JF - IEEE Trans. on Signal Processing
Y1 - 2011
A1 - David Ramírez
A1 - Gonzalo Vázquez-Vilar
A1 - R. López-Valcarce
A1 - Javier Vía
A1 - Ignacio Santamaría
KW - cognitive radio
KW - dynacs
KW - spectrum sensing
AB - Spectrum sensing is a key component of the Cognitive Radio paradigm. Typically, primary signals have to be detected with uncalibrated receivers at signal-to-noise ratios (SNRs) well below decodability levels. Multiantenna detectors exploit spatial independence of receiver thermal noise to boost detection performance and robustness. We study the problem

of detecting a Gaussian signal with rank-P unknown spatial

covariance matrix in spatially uncorrelated Gaussian noise with

unknown covariance using multiple antennas. The generalized

likelihood ratio test (GLRT) is derived for two scenarios. In the

first one, the noises at all antennas are assumed to have the same (unknown) variance, whereas in the second, a generic diagonal noise covariance matrix is allowed in order to accommodate calibration uncertainties in the different antenna frontends. In the latter case, the GLRT statistic must be obtained numerically, for which an efficient method is presented. Furthermore, for asymptotically low SNR, it is shown that the GLRT does admit a closed form, and the resulting detector performs well in practice. Extensions are presented in order to account for unknown temporal correlation in both signal and noise, as well as frequency-selective channels.

VL - 59
IS - 8
ER -
TY - CONF
T1 - A Dirty Paper Scheme for Hierarchical OFDM
T2 - IEEE International Conference on Communications (ICC)
Y1 - 2011
A1 - Scagliola, Michele
A1 - Fernando Pérez-González
A1 - Guccione, Pietro
KW - dirty paper
KW - Hierarchical OFDM
KW - watermarking
JF - IEEE International Conference on Communications (ICC)
CY - Kioto, Japan
ER -
TY - JOUR
T1 - Gain-Invariant Dirty Paper Coding for Hierarchical OFDM
JF - IEEE Transactions on Communications
Y1 - 2011
A1 - Scagliola, Michele
A1 - Fernando Pérez-González
A1 - Guccione, Pietro
KW - dirty paper
KW - dynacs
KW - Hierarchical OFDM
KW - watermarking
AB - A novel approach is here presented to superimpose a low-priority data stream on a high-priority data stream for OFDM systems. The main improvement with respect to conventional hierarchical modulation, which is included with the same purpose in various wireless technologies, is that the low-priority data stream can be decoded from the received subcarrier symbols without any previous equalization for multipath fading channels. As a consequence, the expected performance is nearly invariant of the channel estimation method used to equalize the channel. The low-priority stream is inserted adopting a gain-invariant dirty paper coding based on Rational Dither Modulation, which was proposed for data hiding applications. In this paper an analysis of the developed system is presented and several simulations have been carried out using DVB-T system parameters to verify the validity of the proposed approach. The experimental results show the better performance of the proposed method with respect to that of a conventional hierarchical modulation, particularly when the accuracy of the estimated channel response decreases.

VL - 59 ER - TY - JOUR T1 - Low-Complexity Channel Prediction Using Approximated Recursive DCT JF - Circuits and Systems I: Regular Papers, IEEE Transactions on Y1 - 2011 A1 - Schmidt, J.F. A1 - Cousseau, J.E. A1 - Wichman, R. A1 - Werner, S. KW - autoregressive modeling KW - autoregressive processes KW - basis expansion model KW - channel estimator KW - computational complexity KW - DCT KW - discrete cosine transform KW - discrete cosine transforms KW - Doppler frequencies KW - filter bank KW - Kalman filters KW - low-complexity channel prediction KW - OFDM modulation KW - OFDM systems KW - recursive formulation KW - steady-state Kalman filter KW - sum-of-sinusoids channel predictors KW - time-varying channels VL - 58 ER - TY - CONF T1 - Multiantenna detection under noise uncertainty and primary user's spatial structure T2 - IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) Y1 - 2011 A1 - David Ramírez A1 - Gonzalo Vázquez-Vilar A1 - R. López-Valcarce A1 - Javier Vía A1 - Ignacio Santamaría KW - cognitive radio KW - generalized likelihood ratio test (GLRT) KW - spectrum sensing JF - IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) PB - IEEE CY - Prage, Czech Republic ER - TY - JOUR T1 - Multiantenna Spectrum Sensing Exploiting Spectral a priori Information JF - IEEE Trans. on Wireless Communications Y1 - 2011 A1 - Gonzalo Vázquez-Vilar A1 - R. López-Valcarce A1 - Josep Sala KW - cognitive radio KW - dynacs KW - spectrum sensing VL - 10 IS - 12 ER - TY - CONF T1 - Prediction based resource allocation in OFDMA T2 - Information Sciences and Systems (CISS), 2011 45th Annual Conference on Y1 - 2011 A1 - Schmidt, J.F. A1 - Cousseau, J.E. A1 - Wichman, R. A1 - Werner, S. KW - empirical characterization KW - frequency division multiple access KW - low-complexity channel predictor KW - mobile radio KW - mobile stations KW - mobile wireless channels KW - OFDM modulation KW - OFDMA downlink KW - orthogonal frequency division multiple access downlink KW - perfect channel state information KW - prediction error characterization KW - prediction-based RA strategies KW - prediction-based resource allocation algorithm KW - wireless channels JF - Information Sciences and Systems (CISS), 2011 45th Annual Conference on ER - TY - CONF T1 - A finite interval constant modulus criterion for multicarrier channel shortening T2 - European Wireless Y1 - 2010 A1 - E. Ben Salem A1 - R. López-Valcarce A1 - H. Besbes A1 - S. Cherif JF - European Wireless CY - Lucca, Italy ER - TY - JOUR T1 - Leaving Timing Channel Fingerprints in Hidden Service Log Files JF - Digital Investigation Y1 - 2010 A1 - Bilal Shebaro A1 - Fernando Pérez-González A1 - Jedidiah R. Crandall KW - data-hiding KW - fingerprints KW - hidden services KW - timestamps KW - timing channel KW - tor network KW - watermarking N1 - doi:10.1016/j.diin.2010.05.013 ER - TY - CONF T1 - Leaving Timing Channel Fingerprints in Hidden Service Log Files T2 - Digital Forensic Research Workshop Annual Conference (DFRWS) Y1 - 2010 A1 - Bilal Shebaro A1 - Fernando Pérez-González A1 - Jedidiah R. Crandall KW - data hiding KW - fingerprints KW - hidden services KW - timestamps KW - timing channel KW - tor network KW - watermarking JF - Digital Forensic Research Workshop Annual Conference (DFRWS) CY - Portland, Oregon ER - TY - CONF T1 - Multiantenna spectrum sensing: detection of spatial correlation among time-series with unknown spectra T2 - IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) Y1 - 2010 A1 - David Ramírez A1 - Javier Vía A1 - Ignacio Santamaría A1 - R. López-Valcarce A1 - L. L. Scharf KW - cognitive radio KW - coherence spectrum KW - generalized likelihood ratio test KW - Hadamard ratio KW - multiple-channel signal detection JF - IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) CY - Dallas, TX ER - TY - CONF T1 - Multiantenna spectrum sensing for Cognitive Radio: overcoming noise uncertainty T2 - International Workshop on Cognitive Information Processing (CIP) Y1 - 2010 A1 - R. López-Valcarce A1 - Gonzalo Vázquez-Vilar A1 - Josep Sala JF - International Workshop on Cognitive Information Processing (CIP) CY - Elba Island, Italy ER - TY - CONF T1 - AN EXTENDED ANALYSIS OF DISCRETE FOURIER TRANFORM - RATIONAL DITHER MODULATION FOR NON-WHITE HOSTS T2 - IEEE International Workshop on Information Forensics and Security (WIFS) Y1 - 2009 A1 - Scagliola, Michele A1 - Fernando Pérez-González A1 - Guccione, Pietro KW - data hiding KW - dither modulation KW - filtering KW - non-white Gaussian hosts KW - watermarking JF - IEEE International Workshop on Information Forensics and Security (WIFS) PB - IEEE CY - London, U.K. ER - TY - JOUR T1 - High-rate data-hiding robust to linear filtering for colored hosts JF - EURASIP Journal on Information Security Y1 - 2009 A1 - Scagliola, Michele A1 - Fernando Pérez-González A1 - Guccione, Pietro KW - data-hiding KW - rational dither modulation KW - watermarking ER - TY - CONF T1 - Lattice implementation of Sum-squared Auto-correlation Minimization (SAM) channel shortener T2 - European Signal Processing Conference (EUSIPCO) Y1 - 2008 A1 - E. Ben Salem A1 - R. López-Valcarce A1 - S. Cherif A1 - H. Besbes KW - Blind Adaptation KW - Lattice KW - SAM JF - European Signal Processing Conference (EUSIPCO) CY - Lausanne, Switzerland ER - TY - JOUR T1 - Non-Data-Aided Symbol Rate Estimation of Linearly Modulated Signals JF - IEEE Transactions on Signal Processing Y1 - 2008 A1 - C. Mosquera A1 - Sandro Scalise A1 - R. López-Valcarce ER - TY - CHAP T1 - Digital Satellite Communications Y1 - 2007 A1 - Sandro Scalise A1 - L. Castanet A1 - M. Luglio A1 - Neri, Massimo A1 - Marcos Álvarez-Díaz A1 - J. Bito A1 - M. Bousquet A1 - I. Frigyes A1 - P. Horvath A1 - Axel Jahn A1 - M. Krejcarek A1 - J. Lemorton A1 - S. Morosi A1 - M. A. Vázquez-Castro PB - Springer CY - New York ER - TY - CHAP T1 - Digital Satellite Communications Y1 - 2007 A1 - C. Mosquera A1 - M. L. Boucheret A1 - M. Bousquet A1 - S. Cioni A1 - Wilfried Gappmair A1 - R. Pedone A1 - Sandro Scalise A1 - P. Skoutaridis A1 - M. Villanti PB - Springer ER - TY - CHAP T1 - Digital Satellite Communications Y1 - 2007 A1 - R. Pedone A1 - G. Albertazzi A1 - P.T. Mathiopoulos A1 - C. Mosquera A1 - N. Sagias A1 - M. Villanti PB - Springer ER - TY - CHAP T1 - Digital Satellite Communications Y1 - 2007 A1 - A. A. Rontogiannis A1 - Marcos Álvarez-Díaz A1 - M. Casadei A1 - V. Dalakas A1 - A. Duverdier A1 - F. J. González-Serrano A1 - M. Iubatti A1 - T. Javornik A1 - L. Lapierre A1 - Neri, Massimo A1 - P. Salmi PB - Springer CY - New York ER - TY - CONF T1 - Fast-fading channel estimator using DCT and simplified kalman filter T2 - Signal Processing Advances in Wireless Communications, 2007. SPAWC 2007. IEEE 8th Workshop on Y1 - 2007 A1 - Schmidt, J.F. A1 - Cousseau, J.E. A1 - Wichman, R. A1 - Gregorio, F.H. KW - band-pass filters KW - basis function approximations KW - channel coefficient KW - channel Doppler spectrum KW - channel estimation KW - channel estimator KW - channel variations KW - decoupled parameters KW - discrete cosine transform KW - discrete cosine transforms KW - Doppler effect KW - fading channels KW - fast-fading channel KW - Kalman filter KW - Kalman filters KW - low complexity estimator KW - narrow-band filters KW - passband filters KW - training symbols JF - Signal Processing Advances in Wireless Communications, 2007. SPAWC 2007. IEEE 8th Workshop on ER - TY - CONF T1 - Satellite Communications: Research Trends and Open Issues T2 - International Workshop on Satellite and Space Communications (IWSSC) Y1 - 2007 A1 - Alessandro Vanelli-Coralli A1 - Giovanni Emanuele Corazza A1 - G.K. Karagiannidis A1 - P.T. Mathiopoulos A1 - D.S. Michalopoulos A1 - C. Mosquera A1 - S. Papaharalabos A1 - Sandro Scalise KW - satellite communications JF - International Workshop on Satellite and Space Communications (IWSSC) ER - TY - CONF T1 - A novel model for the print-and-capture channel in 2D bar codes T2 - International Workshop on Multimedia Content Representation, Classification and Security Y1 - 2006 A1 - Alberto Malvido A1 - Fernando Pérez-González A1 - Armando Cousiño ED - Bilge Gunsel ED - Anil K. Jain ED - A. Murat Tekalp ED - Bülent Sankur KW - bar-codes KW - visible-encryption JF - International Workshop on Multimedia Content Representation, Classification and Security T3 - Lecture Notes in Computer Science PB - Springer-Verlag Heidelberg CY - Istambul, Turkey VL - 4105 ER - TY - CONF T1 - Symbol-Rate Estimation for DVB-S2 Broadcasting T2 - International Workshop on Signal Processing for Space Communications (SPSC) Y1 - 2006 A1 - C. Mosquera A1 - Sandro Scalise A1 - R. López-Valcarce KW - DVB KW - symbol rate KW - synchronization JF - International Workshop on Signal Processing for Space Communications (SPSC) ER - TY - CONF T1 - Performance of Coding and Synchronization Schemes for a DVB-S Based Air-Interface in the Railway Environment T2 - Vehicular Technology Conference (VTC) Y1 - 2004 A1 - Sandro Scalise A1 - Giorgio Sciascia A1 - Marcos Álvarez-Díaz A1 - Harald Ernst A1 - Rodolfo Mura KW - Digital Communications KW - DVB-S KW - satellite communications JF - Vehicular Technology Conference (VTC) CY - Milano, Italy VL - 1 ER - TY - CONF T1 - Characterization of the Railroad Satellite Channel within the FIFTH Project T2 - IST Mobile & Wireless Communications Summit Y1 - 2003 A1 - Sandro Scalise A1 - Marcos Álvarez-Díaz A1 - Giorgio Sciascia A1 - Rodolfo Mura KW - Digital Communications KW - satellite communications JF - IST Mobile & Wireless Communications Summit CY - Aveiro, Portugal ER - TY - CONF T1 - DVB-S Air Interface over Railroad Satellite Channel: Performance and Extensions T2 - Baiona Workshop on Signal Processing in Communications Y1 - 2003 A1 - Marcos Álvarez-Díaz A1 - Sandro Scalise A1 - Giorgio Sciascia A1 - Rodolfo Mura A1 - Paolo Conforto A1 - Harald Ernst KW - Digital Communications KW - DVB-S KW - satellite communications JF - Baiona Workshop on Signal Processing in Communications CY - Baiona, Spain ER - TY - CONF T1 - Link Design for Satellite Based Services in the Fast Train Environment T2 - International Conference on Advanced Satellite Mobile Systems (ASMS) Y1 - 2003 A1 - Sandro Scalise A1 - Paolo Conforto A1 - Marcos Álvarez-Díaz A1 - Giorgio Sciascia A1 - Rodolfo Mura A1 - Harald Ernst KW - Digital Communications KW - satellite communications JF - International Conference on Advanced Satellite Mobile Systems (ASMS) CY - ESRIN, Frascati, Italy ER - TY - CONF T1 - Link Performance for Mobile Satellite Based Services in Ku-Band T2 - AIAA International Communications Satellite Systems Conference (ICSSC) Y1 - 2003 A1 - Giorgio Sciascia A1 - Sandro Scalise A1 - Harald Ernst A1 - Marcos Álvarez-Díaz A1 - Matthias Holzbock A1 - Rodolfo Mura KW - Digital Communications KW - satellite communications JF - AIAA International Communications Satellite Systems Conference (ICSSC) CY - Yokohama, Japan ER - TY - CONF T1 - Performance of DVB-S Air-Interface over Land Mobile Satellite Channel at Ku-Band for Fast Trains T2 - International Workshop on Signal Processing for Space Communications (SPSC) Y1 - 2003 A1 - Marcos Álvarez-Díaz A1 - Sandro Scalise A1 - Giorgio Sciascia A1 - Rodolfo Mura A1 - Paolo Conforto A1 - Vincenzo Schena A1 - Harald Ernst KW - Digital Communications KW - DVB-S KW - satellite communications JF - International Workshop on Signal Processing for Space Communications (SPSC) CY - Catania, Italia ER - TY - CONF T1 - Spectral characterization of feedback linear periodically time-varying systems T2 - IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) Y1 - 2002 A1 - C. Mosquera A1 - Sandro Scalise A1 - G. Taricco KW - burst KW - inversion KW - LPTV KW - PLL JF - IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) ER - TY - JOUR T1 - Adaptive IIR Filters for Active Noise Control JF - International Journal of Acoustics and Vibration Y1 - 2001 A1 - C. Mosquera A1 - J.A. Gómez A1 - Fernando Pérez-González A1 - M. Sobreira A1 - E. Alexandre KW - ANC KW - IIR KW - SPR VL - 6 ER - TY - CONF T1 - Blind equalization of nonlinear channels from second order statistics using precoding and channel diversity T2 - IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) Y1 - 2001 A1 - R. López-Valcarce A1 - Xuejie Song A1 - Soura Dasgupta KW - Digital Communications KW - equalization KW - nonlinear channels JF - IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) CY - Salt Lake City, UT, USA VL - 4 ER - TY - CONF T1 - Time-transfer performance in burst-mode communication systems T2 - International Workshop on Digital Signal Processing Techniques for Space Communications (DSP) Y1 - 2001 A1 - C. Mosquera A1 - Sandro Scalise A1 - G. Taricco A1 - D. Giunta KW - burst KW - PLL KW - synchronization JF - International Workshop on Digital Signal Processing Techniques for Space Communications (DSP) ER - TY - JOUR T1 - Time-transfer performance in burst-mode communication systems JF - IEEE Journal on Selected Areas in Communications Y1 - 2001 A1 - C. Mosquera A1 - Sandro Scalise A1 - G. Taricco A1 - G. Garofalo A1 - D. Giunta KW - burst KW - PLL KW - synchronization VL - 19 ER - TY - CONF T1 - Turbo Coding for Sample-Level Watermarking in the DCT Domain T2 - IEEE International Conference on Image Processing (ICIP) Y1 - 2001 A1 - Félix Balado A1 - Fernando Pérez-González A1 - Sandro Scalise KW - data-hiding KW - watermarking JF - IEEE International Conference on Image Processing (ICIP) CY - Thessaloniki, Greece ER - TY - CONF T1 - IIR adaptive filters for active noise control T2 - International Congress on Sound and Vibration Y1 - 1999 A1 - C. Mosquera A1 - J.A. Gómez A1 - Fernando Pérez-González A1 - M. Sobreira KW - ANC KW - IIR KW - SPR JF - International Congress on Sound and Vibration CY - Copenhagen, Denmark ER - TY - CONF T1 - Testing a Flexible Time-Frequency Mapping for High Frequencies in TARCO (Tonal Adaptive Resolution COdec) T2 - Audio Engineering Society Convention (AES Convention) Y1 - 1998 A1 - Alejandro Casal A1 - Carlos Serantes A1 - Nuria González-Prelcic A1 - Antonio S. Pena JF - Audio Engineering Society Convention (AES Convention) CY - Amsterdam, The Netherlands N1 - Preprint 4676 (P9-6) ER - TY - CONF T1 - A Fast Noise-Scaling Algorithm for Uniform Quantization in Audio Coding Schemes T2 - IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) Y1 - 1997 A1 - Carlos Serantes A1 - Antonio S. Pena A1 - Nuria González-Prelcic JF - IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) CY - Munich, Germany ER - TY - CONF T1 - A Flexible Tiling of the Time Axis for Adaptive Wavelet Packet Audio Decompositions T2 - IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) Y1 - 1997 A1 - Nuria González-Prelcic A1 - Antonio S. Pena A1 - Carlos Serantes JF - IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) CY - Munich, Germany ER - TY - CONF T1 - New Improvements in ARCO T2 - Audio Engineering Society Convention (AES Convention) Y1 - 1997 A1 - Antonio S. Pena A1 - Nuria González-Prelcic A1 - Carlos Serantes JF - Audio Engineering Society Convention (AES Convention) CY - Munich, Germany N1 - Preprint 4419 (C-6) ER - TY - CONF T1 - ARCO (Adaptive Resolution COdec): A Hybrid Approach to Perceptual Audio Coding T2 - Audio Engineering Society Convention (AES Convention) Y1 - 1996 A1 - Antonio S. Pena A1 - Carlos Serantes A1 - Nuria González-Prelcic JF - Audio Engineering Society Convention (AES Convention) CY - Copenhagen, Denmark N1 - Preprint 4178 ER -