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IEEE Signal Processing Letters(1)
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Nonlinear 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:scopusNonuniform interpolation of noisy signals using support vector machines
ArticleAbstract: The problem of signal interpolation has been intensively studied in the Information Theory literaturPalabras claves:Dual Signal Model, Interpolation, Mercer's kernel, Nonuniform sampling, Primal signal model, signal, Sinc kernel, support vector machine (SVM)Autores:Alonso-Atienza F., Camps-Valls G., Figuera-Pozuelo C., Jose Luis Rojo-Álvarez, Martínez-Cruz C.E., Martinez-Ramon M.Fuentes:scopusKernel antenna array processing
ArticleAbstract: We introduce two support vector machine (SVM)-based approaches for solving antenna problems such asPalabras claves:Antenna arrays, BEAMFORMING, Kernel method, Mercer's kernels, SUPPORT VECTOR MACHINESAutores:Camps-Valls G., Christodoulou C.G., Jose Luis Rojo-Álvarez, Martinez-Ramon M.Fuentes:scopus