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https://www.researchgate.net/publication/3080554_On_the_support_of_MSE-optimal_fixed-rate_scalar_quantizers
This paper determines how the support regions of optimal and asymptotically optimal fixed-rate scalar quantizers (with respect to mean-squared error) depend on the number of quantization points N ...
https://ieeexplore.ieee.org/document/959274/
On the support of MSE-optimal, fixed-rate, scalar quantizers Abstract: This paper determines how the support regions of optimal and asymptotically optimal fixed-rate scalar quantizers (with respect to mean-squared error) depend on the number of quantization points N and the probability density of the variable being quantized.Cited by: 74
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.29.828
CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): This paper determines how the support regions of optimal and asymptotically optimal fixed-rate scalar quantizers (with respect to mean squared error) depend on the number of quantization points N and the probability density of the variable being quantized. It shows that for asymptotic optimality it is necessary and ...
https://core.ac.uk/display/22498645
This paper determines how the support regions of optimal and asymptotically optimal fixed-rate scalar quantizers (with respect to mean squared error) depend on the number of quantization points N and the probability density of the variable being quantized.Cited by: 74
https://www.researchgate.net/publication/264080283_Asymptotic_Characteristics_of_MSE-Optimal_Scalar_Quantizers_for_Generalized_Gamma_Sources
This paper determines how the support regions of optimal and asymptotically optimal fixed-rate scalar quantizers (with respect to mean-squared error) depend on the number of quantization points N ...
https://www.researchgate.net/publication/4211200_Analysis_of_Support_Region_for_Laplacian_Source's_Scalar_Quantizers
This paper determines how the support regions of optimal and asymptotically optimal fixed-rate scalar quantizers (with respect to mean-squared error) depend on the number of quantization points N ...
https://www.researchgate.net/publication/3085028_On_the_Support_of_Fixed-Rate_Minimum_Mean-Squared_Error_Scalar_Quantizers_for_a_Laplacian_Source
This correspondence shows that the support growth of a fixed-rate optimum (minimum mean-squared error) scalar quantizer for a Laplacian density is logarithmic with the number of quantization points.
https://arxiv.org/pdf/1810.12189
Novel Near-Optimal Scalar Quantizers with Exponential Decay Rate and Global Convergence Vijay Anavangot, Student Member, IEEE, and Animesh Kumar, Member, IEEE ... finite support probability distribution of the source, we show that ... Fixed rate optimal scalar quantization with known dataCited by: 1
https://www.researchgate.net/publication/224242549_Variance-Mismatched_Fixed-Rate_Scalar_Quantization_of_Laplacian_Sources
Variance-Mismatched Fixed-Rate Scalar Quantization of Laplacian Sources Article in IEEE Transactions on Information Theory 57(7):4561 - 4572 · August 2011 with 27 Reads How we measure 'reads'
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