Quantization (signal processing)

Known as: Quantizer, Quantization, Quantisation noise 
Quantization, in mathematics and digital signal processing, is the process of mapping a large set of input values to a (countable) smaller set… (More)
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Highly Cited
2011
Highly Cited
2011
This paper introduces a product quantization-based approach for approximate nearest neighbor search. The idea is to decompose the… (More)
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Highly Cited
2008
Highly Cited
2008
If you are working in digital signal processing, control or numerical analysis, you will find this authoritative analysis of… (More)
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Highly Cited
2003
Highly Cited
2003
This paper is concerned with global asymptotic stabilization of continuous-time systems subject to quantization. A hybrid control… (More)
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Highly Cited
1997
Highly Cited
1997
The discrete wavelet transform (DWT) decomposes an image into bands that vary in spatial frequency and orientation. It is widely… (More)
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Highly Cited
1990
Highly Cited
1990
We compare a number of training algorithms for competitive learning networks applied to the problem of vector quantization for… (More)
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Highly Cited
1989
Highly Cited
1989
Akfmct-An iterative descent algorithm based on a Lagrangian formulation is introduced for designing vector quantizers having… (More)
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Highly Cited
1982
Highly Cited
1982
It has long been realized that in pulse-code modulation (PCM), with a given ensemble of signals to handle, the quantum values… (More)
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Highly Cited
1982
Highly Cited
1982
Extensions of the limiting quantization error formula of Bennet are proved. These are of the form D,, k( N, F) = NMpB, where N is… (More)
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Highly Cited
1979
Highly Cited
1979
for the mean-square quantizing error where N is the. number of level&p(x) is the probability density of the input, and E’(x) is… (More)
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Highly Cited
1975
Highly Cited
1975
Quantization refers to the process of approximating the continuous set of values in the image data with a finite (preferably… (More)
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