Ponencia
Combining blind source extraction with joint approximate diagonalization: Thin algorithms for ICA
Autor/es | Cruces Álvarez, Sergio Antonio
Cichocki, Andrzej |
Departamento | Universidad de Sevilla. Departamento de Teoría de la Señal y Comunicaciones |
Fecha de publicación | 2003 |
Fecha de depósito | 2022-04-21 |
Publicado en |
|
Resumen | In this paper a multivariate contrast function is proposed
for the blind signal extraction of a subset of the indepen dent components from a linear mixture. This contrast com bines the robustness of the joint approximate ... In this paper a multivariate contrast function is proposed for the blind signal extraction of a subset of the indepen dent components from a linear mixture. This contrast com bines the robustness of the joint approximate diagonaliza tion techniques with the flexibility of the methods for blind signal extraction. Its maximization leads to hierarchical and simultaneous ICA extraction algorithms which are respec tively based on the thin QR and thin SVD factorizations. The interesting similarities and differences with other exist ing contrasts and algorithms are commented. |
Agencias financiadoras | Comisión Interministerial de Ciencia y Tecnología (CICYT). España |
Identificador del proyecto | TIC2001-0751-C04-04 |
Cita | Cruces Álvarez, S.A. y Cichocki, A. (2003). Combining blind source extraction with joint approximate diagonalization: Thin algorithms for ICA. En 4th International Symposium on Independent Component Analysis and Blind Signal Separation(ICA2003), April 2003, Nara, Japan. |
Ficheros | Tamaño | Formato | Ver | Descripción |
---|---|---|---|---|
Combining Blind Source Extraction ... | 224.0Kb | [PDF] | Ver/ | |