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Titlebook: Blind Estimation Using Higher-Order Statistics; Asoke Kumar Nandi (David Jardine Chair of Electric Book 1999 Springer Science+Business Med

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樓主
發(fā)表于 2025-3-21 18:49:12 | 只看該作者 |倒序瀏覽 |閱讀模式
期刊全稱Blind Estimation Using Higher-Order Statistics
影響因子2023Asoke Kumar Nandi (David Jardine Chair of Electric
視頻videohttp://file.papertrans.cn/190/189146/189146.mp4
圖書封面Titlebook: Blind Estimation Using Higher-Order Statistics;  Asoke Kumar Nandi (David Jardine Chair of Electric Book 1999 Springer Science+Business Med
影響因子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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沙發(fā)
發(fā)表于 2025-3-21 21:24:02 | 只看該作者
978-1-4419-5078-9Springer Science+Business Media Dordrecht 1999
板凳
發(fā)表于 2025-3-22 00:40:06 | 只看該作者
Blind Signal Equalisation,his is in effect inverse system modelling, an architecture that is well-known in adaptive filtering theory. The cascade of channel and equaliser should constitute an identity operation, with the exception of a time delay and linear phase shift being allowed.
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發(fā)表于 2025-3-22 19:39:23 | 只看該作者
https://doi.org/10.1007/3-540-29252-7his is in effect inverse system modelling, an architecture that is well-known in adaptive filtering theory. The cascade of channel and equaliser should constitute an identity operation, with the exception of a time delay and linear phase shift being allowed.
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發(fā)表于 2025-3-23 00:03:23 | 只看該作者
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發(fā)表于 2025-3-23 02:39:08 | 只看該作者
https://doi.org/10.1007/3-540-29252-7om another set of measurements which were generated as mixtures of the initial set. Since usually neither the original signals — called . — nor the mixing transformation are known, this is certainly a challenging problem of multichannel blind estimation. One of the most typical examples is the socal
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發(fā)表于 2025-3-23 05:37:15 | 只看該作者
https://doi.org/10.1007/3-540-29252-7to be the variance in the estimated cumulants and this problem is also enhanced by the limited number of samples used in applications. Naturally, the accuracy of the methods based on higher—order statistics depend on, among other things, the consistency of the estimates of the cumulants. Some aspect
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