Publication | Closed Access
On the Uniform Quantization of a Class of Sparse Sources
22
Citations
25
References
2009
Year
EngineeringUniform Scalar QuantizationAtomic DecompositionChannel CodingDistributed Source CodingJoint Source-channel CodingDistribution ParametersSignal ReconstructionCoding TheoryApproximation TheoryVariable-length CodeBernoulli Generalized GaussianInverse ProblemsData CompressionSignal ProcessingQuantization (Signal Processing)Sparse RepresentationEntropyCompressive SensingUniform Quantization
We consider the uniform scalar quantization of a class of mixed distributed memoryless sources, namely sources having a Bernoulli Generalized Gaussian (BGG) distribution. Both for low and high resolutions, asymptotic expressions of the distortion for a pth-order moment error measure, and close approximations of the entropy are provided for these sources. Operational rate-distortion functions at high bit rate and their slope factors at low bit rate are derived. The dependence of these results on p and the distribution parameters as well as the relation to the Shannon optimal rate-distortion bound are then discussed. The application of these results to transform coding in two simple cases is finally highlighted.
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