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Titlebook: Nonlinear Digital Filters; Principles and Appli I. Pitas,A. N. Venetsanopoulos Book 1990 Springer Science+Business Media New York 1990 Adap

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書目名稱Nonlinear Digital Filters
副標(biāo)題Principles and Appli
編輯I. Pitas,A. N. Venetsanopoulos
視頻videohttp://file.papertrans.cn/668/667399/667399.mp4
叢書名稱The Springer International Series in Engineering and Computer Science
圖書封面Titlebook: Nonlinear Digital Filters; Principles and Appli I. Pitas,A. N. Venetsanopoulos Book 1990 Springer Science+Business Media New York 1990 Adap
描述The function of a filter is to transform a signal into another one more suit- able for a given purpose. As such, filters find applications in telecommunica- tions, radar, sonar, remote sensing, geophysical signal processing, image pro- cessing, and computer vision. Numerous authors have considered deterministic and statistical approaches for the study of passive, active, digital, multidimen- sional, and adaptive filters. Most of the filters considered were linear although the theory of nonlinear filters is developing rapidly, as it is evident by the numerous research papers and a few specialized monographs now available. Our research interests in this area created opportunity for cooperation and co- authored publications during the past few years in many nonlinear filter families described in this book. As a result of this cooperation and a visit from John Pitas on a research leave at the University of Toronto in September 1988, the idea for this book was first conceived. The difficulty in writing such a mono- graph was that the area seemed fragmented and no general theory was available to encompass the many different kinds of filters presented in the literature. However, the simil
出版日期Book 1990
關(guān)鍵詞Adaptive Filter; Signal; computer; computer vision; electrical engineering; filter; filters; radar; remote s
版次1
doihttps://doi.org/10.1007/978-1-4757-6017-0
isbn_softcover978-1-4419-5120-5
isbn_ebook978-1-4757-6017-0Series ISSN 0893-3405
issn_series 0893-3405
copyrightSpringer Science+Business Media New York 1990
The information of publication is updating

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https://doi.org/10.1007/978-1-4757-6017-0Adaptive Filter; Signal; computer; computer vision; electrical engineering; filter; filters; radar; remote s
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978-1-4419-5120-5Springer Science+Business Media New York 1990
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0893-3405 the area seemed fragmented and no general theory was available to encompass the many different kinds of filters presented in the literature. However, the simil978-1-4419-5120-5978-1-4757-6017-0Series ISSN 0893-3405
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Median Filters,igital TV applications [44,47], in speech processing and coding [20,23], in cepstral analysis [45], and in various other applications. The reason for its success is its good performance and computational simplicity. The theoretical analysis of its deterministic and statistical properties has started
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Adaptive Nonlinear Filters,ir characteristics depend on the noise and signal characteristics, which are unknown. Therefore, adaptive filters are the natural choice in such cases. Their performance depends on the accuracy of the estimation of certain signal and noise statistics, namely the signal mean and standard deviation an
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