articleTop 10% cited
Statistical theory of quantization
IEEE Transactions on Instrumentation and Measurement · 1996 · Vol. 45(2) · pp. 353–361
Bernard Widrow✉(Stanford University)István Kollár(Stanford University)Ming-Chang Liu(Stanford University)
Abstract
The effect of uniform quantization can often be modeled by an additive noise that is uniformly distributed, uncorrelated with the input signal, and has a white spectrum. This paper surveys the theory behind this model, and discusses the conditions of its validity. The application of the model to floating-point quantization is demonstrated.
Image and Signal Denoising MethodsAdvanced Data Compression TechniquesBlind Source Separation TechniquesQuantization (signal processing)UncorrelatedWhite noiseStatistical physicsNoise shapingComputer scienceMathematicsAlgorithmElectronic engineeringPhysics
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References
The Shannon sampling theorem—Its various extensions and applications: A tutorial review
Proceedings of the IEEE · 1977 · 1,716 citations
Communication In The Presence Of Noise
Proceedings of the IEEE · 1998 · 4,871 citations
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