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Taborda, Camilo G; Perez-Cruz, Fernando; Guo, Dongning

New Information-Estimation Results for Poisson, Binomial and Negative Binomial Models Artículo en actas

En: 2014 IEEE International Symposium on Information Theory, pp. 2207–2211, IEEE, Honolulu, 2014, ISBN: 978-1-4799-5186-4.

Resumen | Enlaces | BibTeX | Etiquetas: Bregman divergence, Estimation, estimation measures, Gaussian models, Gaussian processes, information measures, information theory, information-estimation results, negative binomial models, Poisson models, Stochastic processes

Djuric, Petar M; Bravo-Santos, Ángel M

Cooperative Mesh Networks with EGC Detectors Artículo en actas

En: 2014 IEEE 8th Sensor Array and Multichannel Signal Processing Workshop (SAM), pp. 225–228, IEEE, A Coruña, 2014, ISBN: 978-1-4799-1481-4.

Resumen | Enlaces | BibTeX | Etiquetas: binary modulations, cooperative communications, cooperative mesh networks, decode and forward communication, decode and forward relays, Detectors, EGC detectors, Gaussian processes, Joints, Manganese, Mesh networks, multihop multibranch networks, Nakagami channels, Nakagami distribution, Nakagami distributions, relay networks (telecommunication), Signal to noise ratio, zero mean Gaussian


Perez-Cruz, Fernando; Vaerenbergh, Steven Van; Murillo-Fuentes, Juan Jose; Lazaro-Gredilla, Miguel; Santamaria, Ignacio

Gaussian Processes for Nonlinear Signal Processing: An Overview of Recent Advances Artículo de revista

En: IEEE Signal Processing Magazine, vol. 30, no. 4, pp. 40–50, 2013, ISSN: 1053-5888.

Resumen | Enlaces | BibTeX | Etiquetas: adaptive algorithm, Adaptive algorithms, classification scenario, Gaussian processes, Learning systems, Machine learning, Noise measurement, nonGaussian noise model, Nonlinear estimation, nonlinear estimation problem, nonlinear signal processing, optimal Wiener filtering, recursive algorithm, Signal processing, Wiener filters, wireless digital communication

Salamanca, Luis; Olmos, Pablo M; Murillo-Fuentes, Juan Jose; Perez-Cruz, Fernando

Tree Expectation Propagation for ML Decoding of LDPC Codes over the BEC Artículo de revista

En: IEEE Transactions on Communications, vol. 61, no. 2, pp. 465–473, 2013, ISSN: 0090-6778.

Resumen | Enlaces | BibTeX | Etiquetas: approximate inference, Approximation algorithms, Approximation methods, BEC, binary codes, binary erasure channel, code graph, Complexity theory, equivalent complexity, Gaussian elimination method, Gaussian processes, generalized tree-structured expectation propagatio, graphical message-passing procedure, graphical models, LDPC codes, Maximum likelihood decoding, maximum likelihood solution, ML decoding, parity check codes, peeling decoder, tree expectation propagation, tree graph, Tree graphs, tree-structured expectation propagation, tree-structured expectation propagation decoder, trees (mathematics)

Alvarez, Mauricio; Luengo, David; Lawrence, Neil D

Linear Latent Force Models Using Gaussian Processes Artículo de revista

En: IEEE Trans. Pattern Anal. Mach. Intell., vol. 35, no. 11, pp. 2693–2705, 2013.

Resumen | Enlaces | BibTeX | Etiquetas: Analytical models, Computational modeling, Data models, Differential equations, Force, Gaussian processes, Mathematical mode


Djuric, Petar M; Closas, Pau; Bugallo, Monica F; Miguez, Joaquin

Evaluation of a Method's Robustness Artículo en actas

En: 2010 IEEE International Conference on Acoustics, Speech and Signal Processing, pp. 3598–3601, IEEE, Dallas, 2010, ISSN: 1520-6149.

Resumen | Enlaces | BibTeX | Etiquetas: Electronic mail, Extraterrestrial measurements, Filtering, Gaussian processes, method's robustness, Random variables, robustness, sequential methods, Signal processing, statistical distributions, Telecommunications, uniform distribution, Wireless communication

Koch, Tobias; Lapidoth, Amos

Gaussian Fading Is the Worst Fading Artículo de revista

En: IEEE Transactions on Information Theory, vol. 56, no. 3, pp. 1158–1165, 2010, ISSN: 0018-9448.

Resumen | Enlaces | BibTeX | Etiquetas: Additive noise, channel capacity, channels with memory, Distribution functions, ergodic fading processes, Fading, fading channels, flat fading, flat-fading channel capacity, Gaussian channels, Gaussian fading, Gaussian processes, H infinity control, high signal-to-noise ratio (SNR), Information technology, information theory, multiple-input single-output fading channels, multiplexing gain, noncoherent, noncoherent channel capacity, peak-power limited channel capacity, Signal to noise ratio, signal-to-noise ratio, single-antenna channel capacity, spectral distribution function, time-selective, Transmitters

Perez-Cruz, Fernando; Rodrigues, Miguel R D; Verdu, Sergio

MIMO Gaussian Channels With Arbitrary Inputs: Optimal Precoding and Power Allocation Artículo de revista

En: IEEE Transactions on Information Theory, vol. 56, no. 3, pp. 1070–1084, 2010, ISSN: 0018-9448.

Resumen | Enlaces | BibTeX | Etiquetas: Collaborative work, Equations, fixed-point equation, Gaussian channels, Gaussian noise channels, Gaussian processes, Government, Interference, linear precoding, matrix algebra, mean square error methods, mercury-waterfilling algorithm, MIMO, MIMO communication, MIMO Gaussian channel, minimum mean-square error, minimum mean-square error (MMSE), multiple-input-multiple-output channel, multiple-input–multiple-output (MIMO) systems, Mutual information, nondiagonal precoding matrix, optimal linear precoder, optimal power allocation policy, optimal precoding, optimum power allocation, Phase shift keying, precoding, Quadrature amplitude modulation, Telecommunications, waterfilling

Olmos, Pablo M; Murillo-Fuentes, Juan Jose; Perez-Cruz, Fernando

Joint Nonlinear Channel Equalization and Soft LDPC Decoding with Gaussian Processes Artículo de revista

En: IEEE Transactions on Signal Processing, vol. 58, no. 3, pp. 1183–1192, 2010, ISSN: 1053-587X.

Resumen | Enlaces | BibTeX | Etiquetas: Bayesian nonlinear classification tool, Bit error rate, Channel Coding, channel equalizers, Channel estimation, Coding, equalisers, equalization, error statistics, Gaussian processes, GPC, joint nonlinear channel equalization, low-density parity-check (LDPC), low-density parity-check channel decoder, Machine learning, nonlinear channel, nonlinear codes, parity check codes, posterior probability estimates, soft LDPC decoding, soft-decoding, support vector machine (SVM)


Murillo-Fuentes, Juan Jose; Perez-Cruz, Fernando

Gaussian Process Regressors for Multiuser Detection in DS-CDMA Systems Artículo de revista

En: IEEE Transactions on Communications, vol. 57, no. 8, pp. 2339–2347, 2009, ISSN: 0090-6778.

Resumen | Enlaces | BibTeX | Etiquetas: analytical nonlinear multiuser detectors, code division multiple access, communication systems, Detectors, digital communication, digital communications, DS-CDMA systems, Gaussian process for regressi, Gaussian process regressors, Gaussian processes, GPR, Ground penetrating radar, least mean squares methods, maximum likelihood, maximum likelihood detection, maximum likelihood estimation, mean square error methods, minimum mean square error, MMSE, Multiaccess communication, Multiuser detection, nonlinear estimator, nonlinear state-ofthe- art solutions, radio receivers, Receivers, regression analysis, Support vector machines


Perez-Cruz, Fernando; Murillo-Fuentes, Juan Jose; Caro, S

Nonlinear Channel Equalization With Gaussian Processes for Regression Artículo de revista

En: IEEE Transactions on Signal Processing, vol. 56, no. 10, pp. 5283–5286, 2008, ISSN: 1053-587X.

Resumen | Enlaces | BibTeX | Etiquetas: Channel estimation, digital communications receivers, equalisers, equalization, Gaussian processes, kernel adaline, least mean squares methods, maximum likelihood estimation, nonlinear channel equalization, nonlinear equalization, nonlinear minimum mean square error estimator, regression, regression analysis, short training sequences, Support vector machines