Blind Estimation Using Higher-Order Statistics

Name: Blind Estimation Using Higher-Order Statistics
Brand: Springer
SKU: 9780792384427
Price: 550.27 RON
Availability: InStock

Autor: Asoke Kumar Nandi

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Legare: Copertă tare

Editura: Springer

Disponibilitate: În depozitul extern

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In the signal-processing research community, a great deal of progress in higher-order statistics (HO...

Informații despre carte

Autor

Asoke Kumar Nandi

Limbă

engleză

Legare

Carte - Copertă tare

Publicat

1999

Pagini

284

EAN

9780792384427

ISBN

0792384423

Enbook ID

01397631

Editura

Springer

Greutate

1320

Dimensiuni

155 x 235 x 21

Descriere completă

In the signal-processing research community, a great deal of progress in higher-order statistics (HOS) began in the mid-1980s. These last fifteen years have witnessed a large number of theoretical developments as well as real applications. Blind Estimation Using Higher-Order Statistics focuses on the blind estimation area and records some of the major developments in this field. Blind Estimation Using Higher-Order Statistics is a welcome addition to the few books on the subject of HOS and is the first major publication devoted to covering blind estimation using HOS. The book provides the reader with an introduction to HOS and goes on to illustrate its use in blind signal equalisation (which has many applications including (mobile) communications), blind system identification, and blind sources separation (a generic problem in signal processing with many applications including radar, sonar and communications). There is also a chapter devoted to robust cumulant estimation, an important problem where HOS results have been encouraging. Blind Estimation Using Higher-Order Statistics is an invaluable reference for researchers, professionals and graduate students working in signal processing and related areas.

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