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Digital Signal Compression

Digital Signal Compression
Principles and Practice


  • Date Published: October 2011
  • availability: In stock
  • format: Hardback
  • isbn: 9780521899826

£ 72.99

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About the Authors
  • With clear and easy-to-understand explanations, this book covers the fundamental concepts and coding methods of signal compression, whilst still retaining technical depth and rigor. It contains a wealth of illustrations, step-by-step descriptions of algorithms, examples and practice problems, which make it an ideal textbook for senior undergraduate and graduate students, as well as a useful self-study tool for researchers and professionals. Principles of lossless compression are covered, as are various entropy coding techniques, including Huffman coding, arithmetic coding and Lempel-Ziv coding. Scalar and vector quantization and trellis coding are thoroughly explained, and a full chapter is devoted to mathematical transformations including the KLT, DCT and wavelet transforms. The workings of transform and subband/wavelet coding systems, including JPEG2000 and SBHP image compression and H.264/AVC video compression, are explained and a unique chapter is provided on set partition coding, shedding new light on SPIHT, SPECK, EZW and related methods.

    • Provides clear explanations of the fundamentals, without compromising on rigor
    • Includes descriptions of algorithms in set-aside boxes to help the reader understand how to program the algorithm and apply it in practice
    • Covers important material not readily available elsewhere, such as dead-zone coding, distributed source coding, image wavelet coding and alphabet partitioning
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    Product details

    • Date Published: October 2011
    • format: Hardback
    • isbn: 9780521899826
    • length: 440 pages
    • dimensions: 254 x 178 x 25 mm
    • weight: 1.01kg
    • contains: 175 b/w illus. 39 tables 71 exercises
    • availability: In stock
  • Table of Contents

    1. Motivation: the importance of compression
    2. Book overview
    3. Principles of lossless compression
    4. Entropy coding techniques
    5. Lossy compression of scalar sources
    6. Coding of sources with memory
    7. Mathematical transformations
    8. Rate control in transform coding systems
    9. Transform coding systems
    10. Set partition coding
    11. Subband/wavelet coding systems
    12. Methods for lossless compression of images
    13. Color and multi-component image and video coding
    14. Distributed source coding.

  • Resources for

    Digital Signal Compression

    William A. Pearlman, Amir Said

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  • Instructors have used or reviewed this title for the following courses

    • Cryptography and data compression
    • Principles of Digital Communications
    • Signal Compression
    • Topics in Signal Processing: Data Compression
  • Authors

    William A. Pearlman, Rensselaer Polytechnic Institute, New York
    William A. Pearlman is a Professor in the Electrical, Computer and Systems Engineering Department at the Rensselaer Polytechnic Institute (RPI), where he has been a faculty member since 1979. He has more than 35 years of experience in teaching and researching in the fields of information theory, data compression, digital signal processing and digital communications theory. He is a Fellow of the IEEE and the SPIE, and is the co-inventor of two celebrated image compression algorithms: SPIHT and SPECK.

    Amir Said, Hewlett-Packard Laboratories, Palo Alto, California
    Amir Said is currently a Master Researcher at Hewlett-Packard Laboratories, where he has worked since 1998. His research interests include multimedia communications, coding and information theory, image and video compression, signal processing and optimization, and he has more than 50 publications in these fields. He is co-inventor with Dr Pearlman of the SPIHT image compression algorithm and co-recipient, also with Dr Pearlman, of two Best Paper Awards, one from the IEEE Circuits and Systems Society and the other from the IEEE Signal Processing Society.

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