Independent Component Analysis for Audio and Biosignal Applications
Independent Component Analysis (ICA) is a signal-processing method to extract independent sources given only observed data that are mixtures of the unknown sources. Recently, Blind Source Separation (BSS) by ICA has received considerable attention because of its potential signal-processing applicati...
Guardado en:
| Otros Autores: | |
|---|---|
| Formato: | Electrónico Capítulo de libro |
| Lenguaje: | inglés |
| Publicado: |
IntechOpen
2012
|
| Materias: | |
| Acceso en línea: | DOAB: download the publication DOAB: description of the publication |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
| Sumario: | Independent Component Analysis (ICA) is a signal-processing method to extract independent sources given only observed data that are mixtures of the unknown sources. Recently, Blind Source Separation (BSS) by ICA has received considerable attention because of its potential signal-processing applications such as speech enhancement systems, image processing, telecommunications, medical signal processing and several data mining issues. This book brings the state-of-the-art of some of the most important current research of ICA related to Audio and Biomedical signal processing applications. The book is partly a textbook and partly a monograph. It is a textbook because it gives a detailed introduction to ICA applications. It is simultaneously a monograph because it presents several new results, concepts and further developments, which are brought together and published in the book. |
|---|---|
| Descripción Física: | 1 electronic resource (358 p.) |
| ISBN: | 3084 9789535107828 9789535162452 |
| Acceso: | Open Access |