A combined source adaptive and channel optimised vector quantisation (CSACOVQ) algorithm is presented, which combines the non-stationary nature of the source with a noisy channel. It is simulated for the Wiener process and for a binary symmetric channel and shows a performance improvement compared with the channel optimised vector quantisation (COVQ) algorith
Vector quantization (VQ) has long been a popular technique for data compression due in part to resul...
High-rate analysis of channel-optimized vector quantizationThis paper considers the high-rate perfor...
In this paper, we describe a new adaptive vector quantization (AVQ) algorithm designed for the codin...
A new vector encoder-decoder (VED) design that is jointly adaptive to source statistics and optimise...
A new vector encoder-decoder (VED) design that is jointly adaptive to source statistics and optimise...
Channel optimized vector quantization (COVQ), as a joint source-channel coding scheme, has proven to...
The conventional channel-optimized vector quantization (COVQ) is very powerful in the protection of ...
Abstract: In this paper, we focus on the design of a new scheme that combines the channel optimized ...
Wnile there is ample evidence that vector quantization is a very useful technique for data compressi...
Vector quantization (VQ) is one of the more popular compression techniques to appear in the last twe...
Vector quantization (VQ) is one of the more popular compression techniques to appear in the last twe...
A modern communication system should be accurate, reliable, robust and make efficient use of the ava...
We consider vector-quantized (VQ) transmission of compressed sensing (CS) measurements over noisy ch...
A modern communication system should be accurate, reliable, robust and make efficient use of the ava...
High-rate analysis of channel-optimized vector quantizationThis paper considers the high-rate perfor...
Vector quantization (VQ) has long been a popular technique for data compression due in part to resul...
High-rate analysis of channel-optimized vector quantizationThis paper considers the high-rate perfor...
In this paper, we describe a new adaptive vector quantization (AVQ) algorithm designed for the codin...
A new vector encoder-decoder (VED) design that is jointly adaptive to source statistics and optimise...
A new vector encoder-decoder (VED) design that is jointly adaptive to source statistics and optimise...
Channel optimized vector quantization (COVQ), as a joint source-channel coding scheme, has proven to...
The conventional channel-optimized vector quantization (COVQ) is very powerful in the protection of ...
Abstract: In this paper, we focus on the design of a new scheme that combines the channel optimized ...
Wnile there is ample evidence that vector quantization is a very useful technique for data compressi...
Vector quantization (VQ) is one of the more popular compression techniques to appear in the last twe...
Vector quantization (VQ) is one of the more popular compression techniques to appear in the last twe...
A modern communication system should be accurate, reliable, robust and make efficient use of the ava...
We consider vector-quantized (VQ) transmission of compressed sensing (CS) measurements over noisy ch...
A modern communication system should be accurate, reliable, robust and make efficient use of the ava...
High-rate analysis of channel-optimized vector quantizationThis paper considers the high-rate perfor...
Vector quantization (VQ) has long been a popular technique for data compression due in part to resul...
High-rate analysis of channel-optimized vector quantizationThis paper considers the high-rate perfor...
In this paper, we describe a new adaptive vector quantization (AVQ) algorithm designed for the codin...