• DocumentCode
    891840
  • Title

    The root lattices as low bit rate vector quantizers

  • Author

    Rost, Martin C. ; Sayood, Khalid

  • Author_Institution
    Dept. of Electr. Eng., Nebraska Univ., Lincoln, NE, USA
  • Volume
    34
  • Issue
    5
  • fYear
    1988
  • fDate
    9/1/1988 12:00:00 AM
  • Firstpage
    1053
  • Lastpage
    1058
  • Abstract
    Vector quantizers based on the A and D lattices are explored, using the mean square error (MSE) fidelity criterion for independent identically distributed sources with normal, Laplacian, and gamma probability density functions. Code books are studied for uniform coding rates of up to 2 b/sample and two and four dimensions. The expected MSE performance of the quantizers is better than that of optimal (nonuniform) Lloyd-Max quantizers. While the design algorithm presented offers only modest improvements in MSE performance for a normally distributed source, improvement gains of up to several decibels can be achieved when coding Laplacian and gamma sources
  • Keywords
    analogue-digital conversion; codes; encoding; probability; Laplacian probability density functions; code books; gamma probability density functions; independent identically distributed sources; low bit rate vector quantizers; mean square error fidelity criterion; normal probability density functions; root lattices; uniform coding rates; Bit rate; Books; Buildings; Circuits and systems; Distortion measurement; Laplace equations; Lattices; Probability density function; Quantization; Tree data structures;
  • fLanguage
    English
  • Journal_Title
    Information Theory, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9448
  • Type

    jour

  • DOI
    10.1109/18.21229
  • Filename
    21229