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Titlebook: Adaptive Signal Processing; Applications to Real Jacob Benesty,Yiteng Huang Book 2003 Springer-Verlag Berlin Heidelberg 2003 802.11.Code Di

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發(fā)表于 2025-3-21 16:12:40 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱Adaptive Signal Processing
期刊簡稱Applications to Real
影響因子2023Jacob Benesty,Yiteng Huang
視頻videohttp://file.papertrans.cn/145/144743/144743.mp4
發(fā)行地址Among many other books on adaptive filters, this is the one concentrating on applications.The topics are: Acoustics and Speech Processing, Wireless and Optical Communications, Communication Networks.B
學(xué)科分類Signals and Communication Technology
圖書封面Titlebook: Adaptive Signal Processing; Applications to Real Jacob Benesty,Yiteng Huang Book 2003 Springer-Verlag Berlin Heidelberg 2003 802.11.Code Di
影響因子By adaptive signal processing, we mean, in general, adaptive ?ltering.In- known environments where we need to model, identify, or track time-varying channels, adaptive ?ltering has been proven to be an e?ective and powerful tool. As a result, this tool is now in use in many di?erent ?elds. Since the invention, by Widrow and Ho? in 1959, of one of the ?rst ad- tive ?lters, the so-called least-mean-square, many applications appeared to have the potential to use this fundamental concept. While the number of - plications (using adaptive algorithms) has been (and keeps) ?ourishing with time, thanks to several successes, the need for more sophisticated adaptive algorithms became obvious as real-world problems are more complex and more demanding. Even though the theory of adaptive ?ltering is already a well-established topic in signal processing, new and improved concepts are discovered every year by researchers. Some of these recent approaches are discussed in this book. The goal of this book is to provide, for the ?rst time, a reference to the hottest real-world applications where adaptive ?ltering techniques play an important role. To do so, we invited top researchers in di?erent ?elds
Pindex Book 2003
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On a Class of Exponentiated Adaptive Algorithms for the Identification of Sparse Impulse Responses,tion system is equipped with IMUs which provide the spacecraft acceleration data. The dynamics of relative position between the two spacecraft and a model of the IMU accuracy are utilized for developing the navigation algorithm. The measurements, which are obtained by time tagging the photons, are m
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Multichannel Frequency-Domain Adaptive Filtering with Application to Multichannel Acoustic Echo Canclinical practice.Includes supplementary material: .Computer-assisted techniques in the surgery of the facial skeleton including the skull base are depicted for the very first time in this atlas of navigational surgery. Experienced surgeons as well as trainees will benefit from the detailed and well
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Filtering Techniques for Noise Reduction and Speech Enhancement,for the Development of Studies and Scientific Research (JAE, .), an institution supplemented, and partly substituted since 1931, by the National Foundation of Scientific Research (Formentín Ibá?ez and Rodríguez Fraile, 2002; Sánchez Ron et al., 2007). The Civil War deeply divided the scientific comm
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Blind Source Separation of Convolutive Mixtures of Speech,int was now an uninviting location for the series of trials. Alexander was disparaging: ‘The whole thing is gray and dirty with the air of an abandoned slaughter house.’. Accommodation was scarce and miserable. The German medical observer, Alice von Platen, who stayed in the dilapidated inn ‘Zum Sch
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https://doi.org/10.1007/978-94-017-0829-6wo algorithms to have similar behavior. Finally, we demonstrate how the concept of exponentiated gradient could be used for blind multichannel identification and propose the multichannel EG. algorithm.
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