Geometrical ICA-Based Method for Blind Separation of Super-Gaussian Signals

Autor:	Manuel Rodríguez-Álvarez, Carlos G. Puntonet, Ignacio Rojas Ruiz, Rubén Martín-Clemente, Fernando Rojas Ruiz
Rok vydání:	2004
Předmět:	symbols.namesake Signal processing Matrix (mathematics) Work (thermodynamics) Computer science Gaussian Statistics symbols Source separation Space (mathematics) Independent component analysis Algorithm Blind signal separation
Zdroj:	Independent Component Analysis and Blind Signal Separation ISBN: 9783540230564 ICA
DOI:	10.1007/978-3-540-30110-3_45
Popis:	This work explains a new method for blind separation of a linear mixture of sources, based on geometrical considerations concerning the observation space. This new method is applied to a mixture of several sources and it obtains the estimated coefficients of the unknown mixture matrix A and separates the unknown sources. In this work, the principles of the new method and a description of the algorithm are shown.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::869dbe6b5772bab0c15d63538c1bc20b https://doi.org/10.1007/978-3-540-30110-3_45 Zobrazit plný text záznamu