Publicacions en què col·labora amb José Luis Rojo Alvarez (22)

2016

  1. Digital signal processing with kernel methods

    Wiley-IEEE Press, pp. 1-639

2014

  1. A unified SVM framework for signal estimation

    Digital Signal Processing: A Review Journal, Vol. 26, Núm. 1, pp. 1-20

  2. Explicit recursive and adaptive filtering in reproducing kernel hilbert spaces

    IEEE Transactions on Neural Networks and Learning Systems, Vol. 25, Núm. 7, pp. 1413-1419

  3. Support vector machines in engineering: An overview

    Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, Vol. 4, Núm. 3, pp. 234-267

2012

  1. A support vector machine music algorithm

    IEEE Transactions on Antennas and Propagation, Vol. 60, Núm. 10, pp. 4901-4910

  2. Feature selection using support vector machines and bootstrap methods for ventricular fibrillation detection

    Expert Systems with Applications

2009

  1. Learning non-linear time-scales with kernel γ-filters

    Neurocomputing, Vol. 72, Núm. 4-6, pp. 1324-1328

  2. Multi-Temporal Image Classification with Kernels

    Kernel Methods for Remote Sensing Data Analysis (John Wiley & Sons, Ltd), pp. 125-145

2008

  1. Kernel-based framework for multitemporal and multisource remote sensing data classification and change detection

    IEEE Transactions on Geoscience and Remote Sensing, Vol. 46, Núm. 6, pp. 1822-1835

  2. Sparse deconvolution using support vector machines

    Eurasip Journal on Advances in Signal Processing, Vol. 2008

2007

  1. Kernel antenna array processing

    IEEE Transactions on Antennas and Propagation, Vol. 55, Núm. 3 I, pp. 642-650

  2. Nonlinear system identification with composite relevance vector machines

    IEEE Signal Processing Letters, Vol. 14, Núm. 4, pp. 279-282

  3. Nonuniform interpolation of noisy signals using support vector machines

    IEEE Transactions on Signal Processing, Vol. 55, Núm. 8, pp. 4116-4126

2006

  1. Bootstrap feature selection in support vector machines for ventricular fibrillation detection

    ESANN 2006 Proceedings - European Symposium on Artificial Neural Networks

  2. Discrete time signal processing framework with support vector machines

    Kernel Methods in Bioengineering, Signal and Image Processing (IGI Global), pp. 150-178

  3. Kernel methods in bioengineering, signal and image processing

    IGI Global, pp. 1-415

  4. Robust support vector regression for biophysical variable estimation from remotely sensed images

    IEEE Geoscience and Remote Sensing Letters, Vol. 3, Núm. 3, pp. 339-343

  5. Support vector machines for nonlinear Kernel ARMA system identification

    IEEE Transactions on Neural Networks, Vol. 17, Núm. 6, pp. 1617-1622

2005

  1. Support vector machines framework for linear signal processing

    Signal Processing, Vol. 85, Núm. 12, pp. 2316-2326