Digital Signal Compression
eBook - PDF

Digital Signal Compression

Principles and Practice

  1. English
  2. PDF
  3. Available on iOS & Android
eBook - PDF

Digital Signal Compression

Principles and Practice

About this book

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.

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Yes, you can access Digital Signal Compression by William A. Pearlman,Amir Said in PDF and/or ePUB format, as well as other popular books in Technology & Engineering & Signals & Signal Processing. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Digital Signal Compression
  3. Title
  4. Copyright
  5. Dedication
  6. Contents
  7. Preface
  8. Acknowledgments
  9. 1 Motivation
  10. 2 Book overview
  11. 3 Principles of lossless compression
  12. 4 Entropy coding techniques
  13. 5 Lossy compression of scalar sources
  14. 6 Coding of sources with memory
  15. 7 Mathematical transformations
  16. 8 Rate control in transform coding systems
  17. 9 Transform coding systems
  18. 10 Set partition coding
  19. 11 Subband/wavelet coding systems
  20. 12 Methods for lossless compression of images
  21. 13 Color and multi-component image and video coding
  22. 14 Distributed source coding
  23. Index