On The Support Of Mse Optimal Fixed Rate Scalar Quantizers

Searching for On The Support Of Mse Optimal Fixed Rate Scalar Quantizers information? Find all needed info by using official links provided below.


On the support of MSE-optimal, fixed-rate, scalar quantizers

    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 ...

On the support of MSE-optimal, fixed-rate, scalar quantizers

    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

On the Support of MSE-Optimal, Fixed-Rate, Scalar ...

    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 ...

On the Support of MSE-Optimal, Fixed-Rate, Scalar Quantizers

    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

Asymptotic Characteristics of MSE-Optimal Scalar ...

    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 ...

Analysis of Support Region for Laplacian Source's Scalar ...

    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 ...

On the Support of Fixed-Rate Minimum Mean-Squared Error ...

    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.

Novel Near-Optimal Scalar Quantizers with Exponential ...

    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

Variance-Mismatched Fixed-Rate Scalar Quantization of ...

    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'



How to find On The Support Of Mse Optimal Fixed Rate Scalar Quantizers information?

Follow the instuctions below:

  • Choose an official link provided above.
  • Click on it.
  • Find company email address & contact them via email
  • Find company phone & make a call.
  • Find company address & visit their office.

Related Companies Support