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IEEE Transactions on Geoscience and Remote Sensing(2)
Digital Signal Processing with Kernel Methods(1)
Digital Signal Processing: A Review Journal(1)
Eurasip Journal on Advances in Signal Processing(1)
IEEE Signal Processing Letters(1)
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Autocorrelation Metrics to Estimate Soil Moisture Persistence from Satellite Time Series: Application to Semiarid Regions
ArticleAbstract: Satellite-derived soil moisture (SM) products have become an important information source for the stPalabras claves:Advanced Microwave Scanning Radiometer-2 (AMSR2), Advanced Scatterometer (ASCAT), autocorrelation, e-folding time, Least Absolute Shrinkage and Selection Operator (LASSO), Lomb-Scargle periodogram, microwave sensors, Persistence, soil moisture, Soil Moisture and Ocean Salinity (SMOS), spatial-temporalAutores:Camps-Valls G., Guerrero-Curieses A., Jose Luis Rojo-Álvarez, Mun̈oz-Marí J., Piles M.Fuentes:scopusA unified SVM framework for signal estimation
ArticleAbstract: This paper presents a review in the form of a unified framework for tackling estimation problems inPalabras claves:Deconvolution, Digital processing, Filtering, Kernel method, Signal estimation, Spectral estimation, Support vector, system identificationAutores:Camps-Valls G., Jose Luis Rojo-Álvarez, Martinez-Ramon M., Mun̈oz-Marí J.Fuentes:scopusExplicit recursive and adaptive filtering in reproducing kernel hilbert spaces
ArticleAbstract: This brief presents a methodology to develop recursive filters in reproducing kernel Hilbert spaces.Palabras claves:Adaptive, autoregressive and moving-average, filter, kernel methods, recursiveAutores:Camps-Valls G., Jose Luis Rojo-Álvarez, Martinez-Ramon M., Mun̈oz-Marí J., Tuia D.Fuentes:scopusDigital signal processing with kernel methods
BookAbstract: A realistic and comprehensive review of joint approaches to machine learning and signal processing aPalabras claves:Autores:Camps-Valls G., Jose Luis Rojo-Álvarez, Martinez-Ramon M., Mun̈oz-Marí J.Fuentes:scopusNonlinear system identification with composite relevance vector machines
ArticleAbstract: Nonlinear system identification based on relevance vector machines (RVMs) has been traditionally addPalabras claves:Composite kernels, Nonlinear system identification, Relevance vector machine (RVM)Autores:Camps-Valls G., Jose Luis Rojo-Álvarez, Martinez-Ramon M., Mun̈oz-Marí J.Fuentes:scopusLearning non-linear time-scales with kernel γ-filters
ArticleAbstract: A family of kernel methods, based on the γ-filter structure, is presented for non-linear system idenPalabras claves:Gamma filter, Kernel, Non-linear system identification, Support Vector MachineAutores:Camps-Valls G., Jose Luis Rojo-Álvarez, Martinez-Ramon M., Mun̈oz-Marí J., Requena-Carrión J.Fuentes:scopusKernel-based framework for multitemporal and multisource remote sensing data classification and change detection
ArticleAbstract: The multitemporal classification of remote sensing images is a challenging problem, in which the effPalabras claves:Change detection, Information Fusion, kernel methods, Multisource, Multitemporal classification, Support vector (SV) domain description (SVDD), support vector machine (SVM)Autores:Camps-Valls G., Gómez-Chova L., Jose Luis Rojo-Álvarez, Martinez-Ramon M., Mun̈oz-Marí J.Fuentes:scopusSparse deconvolution using support vector machines
ArticleAbstract: Sparse deconvolution is a classical subject in digital signal processing, having many practical applPalabras claves:Autores:Camps-Valls G., Figueiras-Vidal A.R., Jose Luis Rojo-Álvarez, Martínez-Cruz C.E., Martinez-Ramon M., Mun̈oz-Marí J.Fuentes:scopusSupport vector machines for nonlinear Kernel ARMA system identification
ArticleAbstract: Nonlinear system identification based on support vector machines (SVM) has been usually addressed byPalabras claves:Autores:Camps-Valls G., Figueiras-Vidal A.R., Jose Luis Rojo-Álvarez, Martinez-Ramon M., Mun̈oz-Marí J., Navia-Vázquez A., Soria-Olivas E.Fuentes:scopus