Blind Estimation Using Higher-Order Statistics

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In the signal-processing research community, a great deal of progress in higher-order statistics (HOS) began in the mid-1980s. These last 15 years have witnessed a large number of theoretical developments as well as real applications. This book focuses on the blind estimation area and records some of the major developments in this field. It provides an addition to the few books on the subject of HOS and is 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 equalization (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.