Digital Signal Compression: Principles and Practice by William A. PearlmanDigital Signal Compression: Principles and Practice by William A. Pearlman

Digital Signal Compression: Principles and Practice

byWilliam A. Pearlman, Amir Said

Hardcover | December 30, 2011

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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.
Title:Digital Signal Compression: Principles and PracticeFormat:HardcoverDimensions:440 pages, 9.72 × 6.85 × 0.98 inPublished:December 30, 2011Publisher:Cambridge University PressLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:0521899826

ISBN - 13:9780521899826


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.