Vector Quantization

  • Yuli You


The scalar quantization discussed in Chap. 2 quantizes the samples of a source signal one by one in sequence. It is simple because it deals with only one sample each time, but it can only achieve so much for quantization efficiency. We now consider quantizing two or more samples as one block each time and call this approach vector quantization (VQ).


Vector Quantization Quantization Error Decision Boundary Decision Region Voronoi Region 
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  1. 1.
    Aertsen, A.M.H.J., Johannesma, P.I.M.: Spectro-temporal receptive fields of auditory neurons in the grassfrog. Biological Cybernetics 38, 223–234 (1980)CrossRefGoogle Scholar
  2. 2.
    Ahmed, N., Natarajan, T., Rao, K.R.: Discrete cosine transform. IEEE Transactions on Computers 28, 90–93 (1974)CrossRefMathSciNetGoogle Scholar
  3. 3.
    Bellanger, M., Bonnerot, G., Coudreuse, M.: Digital filtering by polyphase network: Application to sample-rate alteration and filter banks. IEEE Transactions on Acoustics, Speech and Signal Processing 24, 109–114 (1976)CrossRefGoogle Scholar
  4. 19.
    Gersho, A., Gray, R.M.: Vector Quantization and Signal Compression, first edn. Springer, New York (1991)Google Scholar
  5. 42.
    Linde, Y., Buzo, A., Gray, R.M.: An algorithm for vector quantizer design. IEEE Transactions on Communications 28, 84–95 (1980)CrossRefGoogle Scholar

Copyright information

© Springer US 2010

Authors and Affiliations

  • Yuli You
    • 1
  1. 1.University of Minnesota in Twin CitiesMinneapolisUSA

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