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Quantization

IEEE Transactions on Information Theory · 1998 · Vol. 44(6) · pp. 2325–2383
Robert M. GrayDavid L. Neuhoff

Abstract

The history of the theory and practice of quantization dates to 1948, although similar ideas had appeared in the literature as long ago as 1898. The fundamental role of quantization in modulation and analog-to-digital conversion was first recognized during the early development of pulse-code modulation systems, especially in the 1948 paper of Oliver, Pierce, and Shannon. Also in 1948, Bennett published the first high-resolution analysis of quantization and an exact analysis of quantization noise for Gaussian processes, and Shannon published the beginnings of rate distortion theory, which would provide a theory for quantization as analog-to-digital conversion and as data compression. Beginning with these three papers of fifty years ago, we trace the history of quantization from its origins through this decade, and we survey the fundamentals of the theory and many of the popular and promising techniques for quantization.

Advanced Data Compression TechniquesBlind Source Separation TechniquesAlgorithms and Data CompressionQuantization (signal processing)Computer scienceInformation theoryGaussianRate–distortion theoryVector quantizationAlgorithmData compressionSpeech recognitionMathematics
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References
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Transform coding of audio signals using perceptual noise criteria
IEEE Journal on Selected Areas in Communications · 1988 · 795 citations
Image coding using vector quantization: a review
IEEE Transactions on Communications · 1988 · 953 citations
Quantizing for minimum distortion
IEEE Transactions on Information Theory · 1960 · 2,052 citations
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IEEE Transactions on Communications · 1980 · 7,190 citations
The viterbi algorithm
Proceedings of the IEEE · 1973 · 5,618 citations
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