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  • Introduction to Data Compression
      • GET 20% OFF

      • The discount is only available for 'Alert of Favourite Topics' newsletter recipients.
      • Publisher's listprice EUR 101.00
      • The price is estimated because at the time of ordering we do not know what conversion rates will apply to HUF / product currency when the book arrives. In case HUF is weaker, the price increases slightly, in case HUF is stronger, the price goes lower slightly.

        41 889 Ft (39 895 Ft + 5% VAT)
      • Discount 20% (cc. 8 378 Ft off)
      • Discounted price 33 512 Ft (31 916 Ft + 5% VAT)

    41 889 Ft

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    Why don't you give exact delivery time?

    Delivery time is estimated on our previous experiences. We give estimations only, because we order from outside Hungary, and the delivery time mainly depends on how quickly the publisher supplies the book. Faster or slower deliveries both happen, but we do our best to supply as quickly as possible.

    Long description:

    Introduction to Data Compression, Fifth Edition, builds on the success of what is widely considered the best introduction and reference text on the art and science of data compression.

    Data compression techniques and technology are ever-evolving with new applications in image, speech, text, audio and video. This new edition includes all the latest developments in the field.

    Khalid Sayood provides an extensive introduction to the theory underlying today's compression techniques, with detailed instruction for their applications using several examples to explain the concepts. Encompassing the entire field of data compression, the book includes lossless and lossy compression, Huffman coding, arithmetic coding, dictionary techniques, context based compression, and scalar and vector quantization.

    The book provides a comprehensive working knowledge of data compression, giving the reader the tools to develop a complete and concise compression package.

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    Table of Contents:

    1. Introduction
    2. Mathematical Preliminaries for Lossless Compression
    3. Huffman Coding
    4. Arithmetic Coding
    5. Dictionary Techniques
    6. Context-Based Compression
    7. Lossless Image Compression
    8. Mathematical Preliminaries for Lossy Coding
    9. Scalar Quantization
    10. Vector Quantization
    11. Differential Encoding
    12. Mathematical Preliminaries for Transforms, Subbands, and Wavelets
    13. Transform Coding
    14. Subband Coding
    15. Wavelets
    16. Wavelet-Based Image Compression
    17. Audio Coding
    18. Analysis/Synthesis and Analysis by Synthesis Schemes
    19. Video Compression
    APPENDIX A: Probability and Random Processes
    APPENDIX B: A Brief Review of Matrix Concepts
    APPENDIX C: The Root Lattices

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