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Quantization (1998) [424 citations — 9 self]

Abstract:

The theory of quantization began in 1898 with Sheppard's study of roundoff error, but its importance for 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.

Citations

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845 Some Methods for Classification and Analysis of Multivariate Observations – MacQueen - 1967
844 An algorithm for vector quantization design – Linde, Buzo, et al. - 1980
793 Clustering Algorithms – Hartigan - 1975
737 Multidimensional binary search trees used associative searching – Bentley - 1975
707 The Laplacian pyramid as a compact image code – BURT, ADELSON - 1983
619 A Probabilistic Theory of Pattern Recognition – Devroye, Gyorfi, et al. - 1996
613 A method for the construction of minimum-redundancy codes – Huffman - 1952
553 Binary codes capable of correcting deletions, insertions and reversals – Levenshtein - 1966
519 Image Coding Using Wavelet Transform – Antonini, Barlaud, et al. - 1992
501 The viterbi algorithm – Forney - 1973
420 Information Theory - Coding Theorems for Discrete Memoryless Systems – Csiszar, Korner - 1981
410 Cluster Analysis for Applications – Anderberg - 1973
367 Entropy-based algorithms for best basis selection – Coifman, Wickerhauser - 1992
335 Wavelets and Subband Coding – Vetterli, Kovačević - 1995
252 efficient image codec based on set partitioning in hierarchical trees – Said, Pearlman, et al. - 1996
232 Channel coding with multilevel/phase signals – Ungerboeck - 1982
227 Efficient bit allocation for an arbitrary set of quantizers – Shoham, Gersho - 1988
220 Image compression through wavelet transform coding, preprint – DeVore, Jawerth, et al.
214 Self-organization and associative – Kohonen - 1989
206 Hierarchical grouping to optimize an objective function – Ward - 1963
196 A mathematical theory of communication,” Bell Syst – Shannon - 1948
177 Introduction to Data Compression – Sayood - 2000
175 Design of multiple description scalar quantizers – Vaishampayan - 1993
159 Best wavelet packet bases in a rate-distortion sense – Ramchandran, Vetterli - 1993
155 Digital coding of waveforms: principles and applications to speech and video – Jayant, Noll - 1984
154 Discrete cosine transform – Ahmed, Natarajan, et al. - 1974
145 Quantizing for minimum distortion – Max - 1960
134 Subband coding of images – Woods, O’Neil - 1986
132 Entropy-constrained vector quantization – Chou, Lookabaugh, et al. - 1989
125 Achievable rates for multiple descriptions – Gamal, Cover - 1982
109 Image compression using the 2-D wavelet transform – Lewis, Knowles - 1992
100 Successive refinement of information – Equitz, Cover - 1991
93 Computation of channel capacity and rate-distortion functions – Blahut - 1972
93 A study of vector quantization for noisy channels – Farvardin - 1990
93 Vector quantization in speech coding – Makhoul, Roucos - 1985
85 Discrete Cosine Transform – Rao, Yip - 1990
83 Variations on a theme by Huffman – Gallager - 1978
79 Minimum Prediction Residual Principle Applied to Speech Recognition – Itakura - 1975
77 Asymptotically efficient quantizing – Gish, Pierce - 1968
74 Transform Coding of Images – Clarke - 1985
73 Trellis coded quantization of memoryless and gauss-markov sources – Marcellin, Fischer - 1990
71 Functional Analysis – Reed, Simon
71 A new vector quantization clustering algorithm – Equitz - 1989
67 Image Quality Measures and their Performance – Eskicioglu, Fisher
66 Transform coding of audio signals using perceptual noise criteria – Johnston - 1988