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Review

2019

Review

2019

The angular momentum of molecules, or, equivalently, their rotation in three-dimensional space, is ideally suited for quantum… Expand

Review

2018

Review

2018

We present an overview of techniques for quantizing convolutional neural networks for inference with integer weights and… Expand

Review

2018

Review

2018

Deep neural networks are the state-of-the-art methods for many real-world tasks, such as computer vision, natural language… Expand

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… Expand

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

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

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

Highly Cited

1981

Highly Cited

1981

Optical flow cannot be computed locally, since only one independent measurement is available from the image sequence at a point… Expand

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

Highly Cited

1949

Highly Cited

1949

THE problems of cryptography and secrecy systems furnish an interesting application of communication theory.1 In this paper a… Expand