期刊全称 | Blind Estimation Using Higher-Order Statistics | 影响因子2023 | Asoke Kumar Nandi (David Jardine Chair of Electric | 视频video | | 图书封面 |  | 影响因子 | In the signal-processing research community, a great deal ofprogress in higher-order statistics (HOS) began in the mid-1980s.These last fifteen years have witnessed a large number of theoreticaldevelopments as well as real applications. .Blind EstimationUsing. .Higher-Order Statistics. focuses on the blind estimationarea and records some of the major developments in this field. ..Blind Estimation Using Higher-Order Statistics. is a welcomeaddition to the few books on the subject of HOS and is the first majorpublication devoted to covering blind estimation using HOS. The bookprovides the reader with an introduction to HOS and goes on toillustrate its use in blind signal equalisation (which has manyapplications including (mobile) communications), blind systemidentification, and blind sources separation (a generic problem insignal processing with many applications including radar, sonar andcommunications). There is also a chapter devoted to robust cumulantestimation, an important problem where HOS results have beenencouraging. ..Blind Estimation Using Higher-Order Statistics. is an invaluablereference for researchers, professionals and graduate students workingin signal processing and | Pindex | Book 1999 |
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