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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… Expand
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Highly Cited
2016
Highly Cited
2016
Neural networks are both computationally intensive and memory intensive, making them difficult to deploy on embedded systems with… Expand
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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… Expand
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Highly Cited
2000
Highly Cited
2000
This paper addresses feedback stabilization problems for linear time-invariant control systems with saturating quantized… Expand
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Highly Cited
1998
Highly Cited
1998
Quantization is a process that maps a continous or discrete set of values into approximations that belong to a smaller set… Expand
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Highly Cited
1991
Highly Cited
1991
1 Introduction.- 1.1 Signals, Coding, and Compression.- 1.2 Optimality.- 1.3 How to Use this Book.- 1.4 Related Reading.- I Basic… Expand
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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… Expand
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Highly Cited
1982
Highly Cited
1982
Extensions of the limiting qnanfizafion error formula of Bennet are proved. These are of the form D_{s,k}(N,F)=N^{-\beta}B… Expand
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Highly Cited
1980
Highly Cited
1980
An efficient and intuitive algorithm is presented for the design of vector quantizers based either on a known probabilistic model… Expand
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Highly Cited
1979
Highly Cited
1979
In 1948 W. R. Bennett used a companding model for nonuniform quantization and proposed the formula D \: = \: \frac{1}{12N^{2… Expand
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Highly Cited
1948
Highly Cited
1948
Signals which are quantized both in time of occurrence and in magnitude are in fact quite old in the communications art. Printing… Expand
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