Add to ORKGWe present an algorithm for designing locally optimal vector quantizers for general networks. We discuss the algorithm's implementation and compare the performance of the resulting "network vector quantizers" to traditional vector quantizers (VQs) and to rate-distortion (R-D) bounds where available. While some special cases of network codes (e.g., multiresolution (MR) and multiple description (MD) codes) have been studied in the literature, we here present a unifying approach that both includes these existing solutions as special cases and provides solutions to previously unsolved examples
This paper presents an approach to vector quantization of sources exhibiting intervector dependency....
We present an introductory survey to optimal vector quantization and its first application...
In this paper we investigate the problem of codebook generation for Vector Quantizers which optimize...
We present an algorithm for designing locally optimal vector quantizers for general networks. We dis...
© 2014 IEEE. We present a heuristic for designing vector non-linear network codes for non-multicast ...
A vector quantization scheme with a two-stage neural network coding(NNVQ) is developed, where an enc...
A modern communication system should be accurate, reliable, robust and make efficient use of the ava...
The ultimate goal of vector quantization (VQ) is to encode the signal into representative code vecto...
Abstract—We develop new algebraic algorithms for scalar and vector network coding. In vector network...
Abstract—Requantization is a key technology for reducing the bit rate of a previously compressed dat...
Due to the character of the original source materials and the nature of batch digitization, quality ...
This paper presents an approach to vector quantization of sources exhibiting intervector dependency....
This thesis considers vector quantization for noisy channels. Vector quantization (VQ) is an importa...
The authors investigate the performance of two neural network architectures for vector quantization ...
This paper presents an approach to vector quantization of sources exhibiting intervector dependency....
This paper presents an approach to vector quantization of sources exhibiting intervector dependency....
We present an introductory survey to optimal vector quantization and its first application...
In this paper we investigate the problem of codebook generation for Vector Quantizers which optimize...
We present an algorithm for designing locally optimal vector quantizers for general networks. We dis...
© 2014 IEEE. We present a heuristic for designing vector non-linear network codes for non-multicast ...
A vector quantization scheme with a two-stage neural network coding(NNVQ) is developed, where an enc...
A modern communication system should be accurate, reliable, robust and make efficient use of the ava...
The ultimate goal of vector quantization (VQ) is to encode the signal into representative code vecto...
Abstract—We develop new algebraic algorithms for scalar and vector network coding. In vector network...
Abstract—Requantization is a key technology for reducing the bit rate of a previously compressed dat...
Due to the character of the original source materials and the nature of batch digitization, quality ...
This paper presents an approach to vector quantization of sources exhibiting intervector dependency....
This thesis considers vector quantization for noisy channels. Vector quantization (VQ) is an importa...
The authors investigate the performance of two neural network architectures for vector quantization ...
This paper presents an approach to vector quantization of sources exhibiting intervector dependency....
This paper presents an approach to vector quantization of sources exhibiting intervector dependency....
We present an introductory survey to optimal vector quantization and its first application...
In this paper we investigate the problem of codebook generation for Vector Quantizers which optimize...