Abstract
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).
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References
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)
Ahmed, N., Natarajan, T., Rao, K.R.: Discrete cosine transform. IEEE Transactions on Computers 28, 90–93 (1974)
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)
Gersho, A., Gray, R.M.: Vector Quantization and Signal Compression, first edn. Springer, New York (1991)
Linde, Y., Buzo, A., Gray, R.M.: An algorithm for vector quantizer design. IEEE Transactions on Communications 28, 84–95 (1980)
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You, Y. (2010). Vector Quantization. In: Audio Coding. Springer, Boston, MA. https://doi.org/10.1007/978-1-4419-1754-6_3
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DOI: https://doi.org/10.1007/978-1-4419-1754-6_3
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