Skip to content
Cart

Your Cart

×

You have 0 items in your cart.

Register Sign in Wishlist
Digital Signal Compression

Digital Signal Compression
Principles and Practice

£62.00

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

£ 62.00
Hardback

Add to cart Add to wishlist

Other available formats:
eBook


Looking for an inspection copy?

This title is not currently available on inspection

Description
Product filter button
Description
Contents
Resources
Courses
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
    Read more

    Customer reviews

    Not yet reviewed

    Be the first to review

    Review was not posted due to profanity

    ×

    , create a review

    (If you're not , sign out)

    Please enter the right captcha value
    Please enter a star rating.
    Your review must be a minimum of 12 words.

    How do you rate this item?

    ×

    Product details

    • Date Published: October 2011
    • format: Hardback
    • isbn: 9780521899826
    • length: 440 pages
    • dimensions: 254 x 178 x 25 mm
    • weight: 1kg
    • 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

    Welcome to the resources site

    Here you will find free-of-charge online materials to accompany this book. The range of materials we provide across our academic and higher education titles are an integral part of the book package whether you are a student, instructor, researcher or professional.

    Find resources associated with this title

    Type Name Unlocked * Format Size

    Showing of

    Back to top

    *This title has one or more locked files and access is given only to lecturers adopting the textbook for their class. We need to enforce this strictly so that solutions are not made available to students. To gain access to locked resources you either need first to sign in or register for an account.


    These resources are provided free of charge by Cambridge University Press with permission of the author of the corresponding work, but are subject to copyright. You are permitted to view, print and download these resources for your own personal use only, provided any copyright lines on the resources are not removed or altered in any way. Any other use, including but not limited to distribution of the resources in modified form, or via electronic or other media, is strictly prohibited unless you have permission from the author of the corresponding work and provided you give appropriate acknowledgement of the source.

    If you are having problems accessing these resources please email lecturers@cambridge.org

  • 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.

Sign In

Please sign in to access your account

Cancel

Not already registered? Create an account now. ×

Sorry, this resource is locked

Please register or sign in to request access. If you are having problems accessing these resources please email lecturers@cambridge.org

Register Sign in
Please note that this file is password protected. You will be asked to input your password on the next screen.

» Proceed

You are now leaving the Cambridge University Press website. Your eBook purchase and download will be completed by our partner www.ebooks.com. Please see the permission section of the www.ebooks.com catalogue page for details of the print & copy limits on our eBooks.

Continue ×

Continue ×

Continue ×

Find content that relates to you

This site uses cookies to improve your experience. Read more Close

Are you sure you want to delete your account?

This cannot be undone.

Cancel

Thank you for your feedback which will help us improve our service.

If you requested a response, we will make sure to get back to you shortly.

×
Please fill in the required fields in your feedback submission.
×