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Titlebook: Blind Equalization and System Identification; Batch Processing Alg Chong-Yung Chi,Chii-Horng Chen,Ching-Yung Chen Textbook 2006 Springer-Ve

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發(fā)表于 2025-3-21 17:00:21 | 只看該作者 |倒序瀏覽 |閱讀模式
期刊全稱Blind Equalization and System Identification
期刊簡稱Batch Processing Alg
影響因子2023Chong-Yung Chi,Chii-Horng Chen,Ching-Yung Chen
視頻videohttp://file.papertrans.cn/190/189145/189145.mp4
發(fā)行地址Offers a unified treatment presenting theory, performance analysis, simulation, implementation and applications.Covers single-input, single-output and multiple-input, multiple-output blind equalizatio
圖書封面Titlebook: Blind Equalization and System Identification; Batch Processing Alg Chong-Yung Chi,Chii-Horng Chen,Ching-Yung Chen Textbook 2006 Springer-Ve
影響因子.The absence of training signals from many kinds of transmission necessitates the widespread use of blind equalization and system identification. There have been many algorithms developed for these purposes, working with one- or two-dimensional signals and with single-input single-output or multiple-input multiple-output, real or complex systems. It is now time for a unified treatment of this subject, pointing out the common characteristics of these algorithms as well as learning from their different perspectives. "Blind Equalization and System Identification" provides such a unified treatment presenting theory, performance analysis, simulation, implementation and applications...This is a textbook for graduate courses in discrete-time random processes, statistical signal processing, and blind equalization and system identification. It contains material which will also interest researchers and engineers working in digital communications, source separation, speech processing, and other, similar applications..
Pindex Textbook 2006
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書目名稱Blind Equalization and System Identification影響因子(影響力)




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Applications of Two-Dimensional Blind Deconvolution Algorithms,
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https://doi.org/10.1007/978-3-662-46096-2tering approach using SOS. Then 2-D deconvolution algorithms using HOS are introduced, including MNC and SE algorithms, and their properties and relations to the MMSE algorithm. Finally, a 2-D hybrid blind deconvolution algorithm based on these properties and relations is introduced. Applications of these algorithms are left to the next chapter.
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Two-Dimensional Blind Deconvolution Algorithms,tering approach using SOS. Then 2-D deconvolution algorithms using HOS are introduced, including MNC and SE algorithms, and their properties and relations to the MMSE algorithm. Finally, a 2-D hybrid blind deconvolution algorithm based on these properties and relations is introduced. Applications of these algorithms are left to the next chapter.
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發(fā)表于 2025-3-22 23:15:18 | 只看該作者
Lernen von unabh?ngigen Reizkomponentenient-type optimization methods. Three popular gradient-type methods were introduced in terms of a complex-valued framework since they are often applied to blind equalization problems. Vector differentiation was then applied to find the solution to the full-rank overdetermined LS problem.
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Textbook 2006m processes, statistical signal processing, and blind equalization and system identification. It contains material which will also interest researchers and engineers working in digital communications, source separation, speech processing, and other, similar applications..
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