IEEE Transactions on Information Theory · 1986 · 49 citations · 10 references
Spectral TheoryQuantum ScienceIndependent Gaussian SourceEngineeringQuantum ComputingPhysicsPolar Coordinate QuantizersInformation TheoryPolar QuantizersPolar DesignQuantum Optimization AlgorithmGaussian AnalysisSignal ProcessingUnrestricted Polar QuantizersApproximation TheoryStatisticsQuantization (Signal Processing)
Unrestricted polar quantizers (UPQ's) were previously introduced to overcome the weak mean-squared error performance of polar coordinate quantizers for the independent bivariate Gaussian source when the number of levels was small ( <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">< 3</tex> bits /dimension). An asymptotic ntean-squared error analysis of the UPQ's with a general circularly symmetric source is presented. The performance of the UPQ's is shown to be asymptotically within <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">0.17</tex> dB of that of the optimum bivariate quantizer. The results are extended to dimensions greater than two. Examples for the independent Gaussian source are included.
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Quantizing for minimum distortion
J. Max · IEEE Transactions on Information Theory · 1960 · 2.1K citations
Input Signal, Output Levels, Statistical Signal Processing +11