This books offers an overview of the general principles and specifics of information fusion in signal and image processing, as well as covering the main numerical methods (probabilistic approaches, fuzzy sets, and possibility theory and belief functions). Editor(s): Bloch, Isabelle. Num Pages: 320 pages, black & white illustrations, black & white tables, figures. BIC Classification: TJK. Category: (P) Professional & Vocational. Dimension: 235 x 161 x 22. Weight in Grams: 592. . 2008. 1st Edition. Hardcover. . . . .

N� de ref. del art�culo V9781848210196

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Detalles bibliogr�ficos

T�tulo: Information Fusion in Signal and Image Processing: Major Probabilistic and Non-Probabilistic Numerical Approaches
Editor: ISTE Ltd and John Wiley & Sons Inc
Fecha de publicaci�n: 2007
Idioma: Ingl�s
ISBN 10: 1848210191
ISBN 13: 9781848210196
Encuadernaci�n: Encuadernaci�n de tapa dura
Edici�n: 1� Edici�n
Estado: New

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Sinopsis

The area of information fusion has grown considerably during the last few years, leading to a rapid and impressive evolution. In such fast-moving times, it is important to take stock of the changes that have occurred. As such, this books offers an overview of the general principles and specificities of information fusion in signal and image processing, as well as covering the main numerical methods (probabilistic approaches, fuzzy sets and possibility theory and belief functions).

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Isabelle Bloch is Professor at the Ecole Nationale Sup�rieure des
T�l�communications, Paris, France.

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