Documentos de Martinez-Ramon M. | REDI

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Mostrando 10 resultados de: 13

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Área temáticas: "Ciencias de la computación"

Subtipo de publicación

Conference Object(2)

Publisher

IEEE Signal Processing Letters(2)

Neurocomputing(2)

Signal Processing(2)

2019 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, APSURSI 2019 - Proceedings(1)

2020 IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting, IEEECONF 2020 - Proceedings(1)

Área temáticas

Electricidad y electrónica(1)

Física aplicada(1)

Métodos informáticos especiales(1)

Programación informática, programas, datos, seguridad(1)

Área de conocimiento

Aprendizaje automático(11)

Ciencias de la computación(4)

Optimización matemática(2)

Comunicación(1)

Año de Publicación

Origen

Palabras Claves

Adaptive arrays(2)

Array synthesis(2)

Direction of arrival estimation(2)

Gamma filter(2)

SUPPORT VECTOR MACHINES(2)

A robust support vector algorithm for nonparametric spectral analysis

Abstract: A new approach to the nonparametric spectral estimation on the basis of the support vector method (S

Palabras claves:

Spectral Analysis, Support vector method, Weighted least squares, Welch periodogram

Artés-Rodríguez A., Figueiras-Vidal A.R., García-Armada A., Jose Luis Rojo-Álvarez, Martinez-Ramon M.

Deep Neural Nets for DOA Estimation with Random Arrays

Conference Object

Abstract: An ensemble deep neural net framework is introduced to process nonuniform antenna arrays with unknow

Palabras claves:

Adaptive arrays, Array synthesis, deep learning, Direction of arrival estimation, LSTM, Neural networks

Christodoulou C.G., Gupta A., Jose Luis Rojo-Álvarez, Martinez-Ramon M.

Gaussian Processes for Direction-of-Arrival Estimation with Random Arrays

Abstract: Gaussian process regression for direction-of-arrival (DOA) estimation in random linear arrays is for

Palabras claves:

Array interpolation, Complex Gaussian processes (GPS), direction of arrival (DOA), GP regression, Nonuniform array processing, Root-MuSiC, Signal interpolation, unsupervised learning

Christodoulou C.G., Gupta A., Jose Luis Rojo-Álvarez, Martinez-Ramon M.

Gaussian process regression for array interpolation

Conference Object

Abstract: This paper introduces the Gaussian process regression formulation for estimating the bearings of sig

Palabras claves:

Adaptive arrays, Array synthesis, Complex Gaussian process, Direction of arrival estimation, Machine learning, Multivariate Gaussian processes, unsupervised learning

Christodoulou C.G., Gupta A., Jose Luis Rojo-Álvarez, Martinez-Ramon M.

Explicit recursive and adaptive filtering in reproducing kernel hilbert spaces

Abstract: This brief presents a methodology to develop recursive filters in reproducing kernel Hilbert spaces.

Palabras claves:

Adaptive, autoregressive and moving-average, filter, kernel methods, recursive

Camps-Valls G., Jose Luis Rojo-Álvarez, Martinez-Ramon M., Mun̈oz-Marí J., Tuia D.

Discrete time signal processing framework with support vector machines

Abstract: Digital signal processing (DSP) of time series using SVM has been addressed in the literature with a

Palabras claves:

Camps-Valls G., Figuera-Pozuelo C., Jose Luis Rojo-Álvarez, Martínez-Cruz C.E., Martinez-Ramon M.

Nonuniform interpolation of noisy signals using support vector machines

Abstract: The problem of signal interpolation has been intensively studied in the Information Theory literatur

Palabras claves:

Dual Signal Model, Interpolation, Mercer's kernel, Nonuniform sampling, Primal signal model, signal, Sinc kernel, support vector machine (SVM)

Alonso-Atienza F., Camps-Valls G., Figuera-Pozuelo C., Jose Luis Rojo-Álvarez, Martínez-Cruz C.E., Martinez-Ramon M.

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

Abstract: A family of kernel methods, based on the γ-filter structure, is presented for non-linear system iden

Palabras claves:

Gamma filter, Kernel, Non-linear system identification, Support Vector Machine

Camps-Valls G., Jose Luis Rojo-Álvarez, Martinez-Ramon M., Mun̈oz-Marí J., Requena-Carrión J.

Robust γ-filter using support vector machines

Abstract: This Letter presents a new approach to time-series modelling using the support vector machines (SVM)

Palabras claves:

channel equalization, Iterated pbkp_rediction, SUPPORT VECTOR MACHINES, γ-Filter

Camps-Valls G., Jose Luis Rojo-Álvarez, Martinez-Ramon M., Soria-Olivas E.

Spectrally adapted Mercer kernels for support vector nonuniform interpolation

Abstract: Interpolation of nonuniformly sampled signals in the presence of noise is a widely analyzed problem

Palabras claves:

Autocorrelation kernel, Mercer Kernel, Nonuniform interpolation, Support Vector Regression

Barquero-Perez O., Caamaño-Fernández A.J., Figuera-Pozuelo C., Guerrero-Curieses A., Jose Luis Rojo-Álvarez, Martinez-Ramon M.