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Titlebook: Discrete-time Signal Processing; An Algebraic Approac Darrell Williamson Textbook 1999 Springer-Verlag London 1999 MATLAB.Software.Symbol.a

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發(fā)表于 2025-3-21 17:21:08 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Discrete-time Signal Processing
副標題An Algebraic Approac
編輯Darrell Williamson
視頻videohttp://file.papertrans.cn/282/281207/281207.mp4
概述Comprehensive and up-to-date treatment of all topics associated with discrete-time signal processing *.A clearly written book full of detailed explanations and the latest research results from a centr
叢書名稱Advanced Textbooks in Control and Signal Processing
圖書封面Titlebook: Discrete-time Signal Processing; An Algebraic Approac Darrell Williamson Textbook 1999 Springer-Verlag London 1999 MATLAB.Software.Symbol.a
描述The topics of control engineering and signal processing continue to flourish and develop. In common with general scientific investigation, new ideas, concepts and interpretations emerge quite spontaneously and these are then discussed, used, discarded or subsumed into the prevailing subject paradigm. Sometimes these innovative concepts coalesce into a new sub-discipline within the broad subject tapestry ofcontrol and signal processing. This preliminary battle between old and new usually takes place at conferences, through the internet and in the journals of the discipline. After a little more maturity has been acquired by the new concepts then archival publication as a scientific or engineering monograph may occur. The applications ofsignal processing techniques have grown and grown. They now cover the wide range from the statistical properties of signals and data through to the hardware problems of communications in all its diverse aspects. Supporting this range ofapplications is a body of theory, analysis and techniques which is equally broad. Darrell Williamson has faced the difficult task of organising this material by adopting an algebraic approach. This uses general mathemati
出版日期Textbook 1999
關(guān)鍵詞MATLAB; Software; Symbol; algebra; algorithms; design; discrete Fourier transform; fast Fourier transform (
版次1
doihttps://doi.org/10.1007/978-1-4471-0541-1
isbn_softcover978-1-85233-161-0
isbn_ebook978-1-4471-0541-1Series ISSN 1439-2232 Series E-ISSN 2510-3814
issn_series 1439-2232
copyrightSpringer-Verlag London 1999
The information of publication is updating

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Digital Filters, state sinusoidal response . of an asymptotically stable difference equation (3.1) as the result of the sinusoidal input . is given by . where . In this Chapter, we show how a digital filter can be designed so that the magnitude function.and phase function . satisfy particular properties.
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Finite Wordlength IIR Filter Implementation,r a general purpose digital computer, or special purpose digital hardware. Then the coefficients{., .}, or the components of the matrices{.}, and the results of the computation at each discrete time step . must be stored in binary form in registers of finite length. Since speed and accuracy are impo
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Gerd Leonhard,Carl-August Graf von KospothA . time signal is one that has a value only for a finite or infinite number of time instants whereas a . time signal has a value for every (real) time instant. For example, consider:
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Introduction,A . time signal is one that has a value only for a finite or infinite number of time instants whereas a . time signal has a value for every (real) time instant. For example, consider:
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Darrell WilliamsonComprehensive and up-to-date treatment of all topics associated with discrete-time signal processing *.A clearly written book full of detailed explanations and the latest research results from a centr
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