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Digital signal processing systems : implementation techniques /

This volume on implementation techniques in digital signal processing systems clearly reveals the significance and power of the techniques that are available, and with further development, the essential role they will play as applied to a wide variety of areas. The authors are all to highly commende...

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Bibliographic Details
Corporate Authors: Elsevier Science & Technology
Group Author: Leondes, Cornelius T
Published: Academic Press,
Publisher Address: San Diego :
Publication Dates: 1995.
Literature type: eBook
Language: English
Series: Control and dynamic systems : advances in theory and applications, v. 68
Subjects:
Signal processing > Digital techniques
COMPUTERS > Information Theory
TECHNOLOGY & ENGINEERING > Signals & Signal Processing
Signaalverwerking
Electronic books
Online Access: http://www.sciencedirect.com/science/bookseries/00905267/68
Summary: This volume on implementation techniques in digital signal processing systems clearly reveals the significance and power of the techniques that are available, and with further development, the essential role they will play as applied to a wide variety of areas. The authors are all to highly commended for their splendid contributors to this volume, which will provide a significant and unique international reference source for students, research workers, practicing engineers, and others for years to come.
Carrier Form: 1 online resource (xi, 400 pages) : illustrations.
Bibliography: Includes bibliographical references and index.
ISBN: 9780120127689
0120127687
9780080529844
0080529844
Index Number: QA402
CLC: O231
TP13
Contents: Contributors. Preface. VLSI Signal Processing. Recurrent Neural Networks for Adaptive Filitering. Multiscale Signal Processing: From QMF to Wavelets. The Design of Frequency Sampling Filters. Low-Complexity Filter-Banks for Adaptive and Other Applications. A Discrete Time Nonrecursive Linear Phase Transport Processor Design Technique. Blind Deconvolution: Channel Identification and Equalization. Time-Varying System Identification and Channel Equalization Using Wavelets and Higher-Order Statistics. Index.

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