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  • 1
    UID:
    almafu_9961523810502883
    Format: 1 online resource (xix, 612 pages) : , digital, PDF file(s).
    Edition: 1st ed.
    ISBN: 0-511-32357-3 , 1-280-42984-4 , 9786610429844 , 1-139-16458-9 , 0-511-17671-6 , 0-511-07775-0 , 0-511-15760-6 , 0-511-07618-5
    Content: Digital signal processing lies at the heart of the communications revolution and is an essential element of key technologies such as mobile phones and the Internet. This book covers all the major topics in digital signal processing (DSP) design and analysis, supported by MatLab examples and other modelling techniques. The authors explain clearly and concisely why and how to use digital signal processing systems; how to approximate a desired transfer function characteristic using polynomials and ratio of polynomials; why an appropriate mapping of a transfer function on to a suitable structure is important for practical applications; and how to analyse, represent and explore the trade-off between time and frequency representation of signals. An ideal textbook for students, it will also be a useful reference for engineers working on the development of signal processing systems.
    Note: Title from publisher's bibliographic system (viewed on 05 Oct 2015). , Discrete-time systems -- , Discrete-time signals -- , Difference equations and time-domain response -- , Sampling of continuous-time signals -- , Discrete-time signals and systems with MATLAB -- , The z and Fourier transforms -- , Definition of the z transform -- , Inverse z transform -- , Properties of the z transform -- , Transfer functions -- , Stability in the z domain -- , Frequency response -- , Fourier transform -- , Properties of the Fourier transform -- , Transfer functions with MATLAB -- , Discrete transforms -- , Discrete Fourier transform -- , Properties of the DFT -- , Digital filtering using the DFT -- , Fast Fourier transform -- , Other discrete transforms -- , Signal representations -- , Discrete transforms with MATLAB -- , Digital filters -- , Basic structures of nonrecursive digital filters -- , Basic structures of recursive digital filters -- , Digital network analysis -- , State-space description -- , Basic properties of digital networks -- , Digital filter forms with MATLAB -- , FIR filter approximations -- , Ideal characteristics of standard filters -- , FIR filter approximation by frequency sampling -- , FIR filter approximation with window functions -- , Maximally flat FIR filter approximation -- , FIR filter approximation by optimization -- , FIR filter approximation with MATLAB -- , IIR filter approximations -- , Analog filter approximations -- , Continuous-time to discrete-time transformations -- , Frequency transformation in the discrete-time domain -- , Magnitude and phase approximation -- , Time-domain approximation -- , IIR filter approximation with MATLAB. , English
    Additional Edition: ISBN 0-521-02513-3
    Additional Edition: ISBN 0-521-78175-2
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
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  • 2
    UID:
    b3kat_BV036672276
    Format: XXI, 889 S. , graph. Darst.
    Edition: 2. ed.
    ISBN: 9780521887755
    Note: Includes bibliographical references and index
    Language: English
    Subjects: Engineering
    RVK:
    Keywords: Digitale Signalverarbeitung ; Lehrbuch
    Library Location Call Number Volume/Issue/Year Availability
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  • 3
    UID:
    almafu_9960119685702883
    Format: 1 online resource (xxi, 889 pages) : , digital, PDF file(s).
    Edition: 2nd ed.
    ISBN: 1-107-21168-9 , 1-282-77134-5 , 9786612771347 , 0-511-78166-0 , 0-511-78909-2 , 0-511-78983-1 , 0-511-78722-7 , 0-511-78608-5 , 0-511-78836-3
    Content: This new, fully-revised edition covers all the major topics of digital signal processing (DSP) design and analysis in a single, all-inclusive volume, interweaving theory with real-world examples and design trade-offs. Building on the success of the original, this edition includes new material on random signal processing, a new chapter on spectral estimation, greatly expanded coverage of filter banks and wavelets, and new material on the solution of difference equations. Additional steps in mathematical derivations make them easier to follow, and an important new feature is the do-it-yourself section at the end of each chapter, where readers get hands-on experience of solving practical signal processing problems in a range of MATLAB experiments. With 120 worked examples, 20 case studies, and almost 400 homework exercises, the book is essential reading for anyone taking DSP courses. Its unique blend of theory and real-world practical examples also makes it an ideal reference for practitioners.
    Note: Title from publisher's bibliographic system (viewed on 05 Oct 2015). , Cover; Half-title; Title; Copyright; Dedication; Contents; Preface; Introduction; 1 Discrete-time signals and systems; 2 The z and Fourier transforms; 3 Discrete transforms; 4 Digital filters; 5 FIR filter approximations; 6 IIR filter approximations; 7 Spectral estimation; 8 Multirate systems; 9 Filter banks; 10 Wavelet transforms; 11 Finite-precision digital signal processing; 12 Efficient FIR structures; 13 Efficient IIR structures; References; Index , English
    Additional Edition: ISBN 0-521-88775-5
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
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  • 4
    UID:
    almahu_9948234213802882
    Format: 1 online resource (xxi, 889 pages) : , digital, PDF file(s).
    Edition: Second edition.
    ISBN: 9780511781667 (ebook)
    Content: This new, fully-revised edition covers all the major topics of digital signal processing (DSP) design and analysis in a single, all-inclusive volume, interweaving theory with real-world examples and design trade-offs. Building on the success of the original, this edition includes new material on random signal processing, a new chapter on spectral estimation, greatly expanded coverage of filter banks and wavelets, and new material on the solution of difference equations. Additional steps in mathematical derivations make them easier to follow, and an important new feature is the do-it-yourself section at the end of each chapter, where readers get hands-on experience of solving practical signal processing problems in a range of MATLAB experiments. With 120 worked examples, 20 case studies, and almost 400 homework exercises, the book is essential reading for anyone taking DSP courses. Its unique blend of theory and real-world practical examples also makes it an ideal reference for practitioners.
    Note: Title from publisher's bibliographic system (viewed on 05 Oct 2015).
    Additional Edition: Print version: ISBN 9780521887755
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
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