This paper presents a study of the nature of optimal quantizer/dequantizer pairs for use with binary symmetric channels with moderate to high error rates. It is well known that some codewords of such quantizers are never output, because there is always another codeword with lower expected distortion. This paper investigates how high the bit error rate must be for this phenomenon to occur. It also investigates the nature of optimal quantizers for extremely noisy channels, in which the error probability is almost 1/2
The classical theory of lossy source coding focuses on the performance, in terms of rate and distort...
This thesis deals with the redundant index assignment (IA) problem for a type of noisy channel vecto...
This thesis deals with the redundant index assignment (IA) problem for a type of noisy channel vecto...
This paper investigates the optimal quantisation decoder to use for a range of channel conditions wh...
In this paper, we present an analysis of the zero-memory quantization of memoryless sources when the...
Wnile there is ample evidence that vector quantization is a very useful technique for data compressi...
We consider high-rate scalar quantization of a memoryless source for transmission over a binary symm...
Channel output quantization to a smaller number of outputs is modeled as a mismatched decoding probl...
ows. In this sense, randomly chosen index assignments are asymptotically bad for uniform sources. Bo...
169 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1998.Necessary conditions for the ...
169 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1998.Necessary conditions for the ...
This chapter contains a discussion of quantization over noisy channels. The effects of channel noise...
High-rate analysis of channel-optimized vector quantizationThis paper considers the high-rate perfor...
High-rate analysis of channel-optimized vector quantizationThis paper considers the high-rate perfor...
We investigate reliable communication over quantized channels from an information theoretical point ...
The classical theory of lossy source coding focuses on the performance, in terms of rate and distort...
This thesis deals with the redundant index assignment (IA) problem for a type of noisy channel vecto...
This thesis deals with the redundant index assignment (IA) problem for a type of noisy channel vecto...
This paper investigates the optimal quantisation decoder to use for a range of channel conditions wh...
In this paper, we present an analysis of the zero-memory quantization of memoryless sources when the...
Wnile there is ample evidence that vector quantization is a very useful technique for data compressi...
We consider high-rate scalar quantization of a memoryless source for transmission over a binary symm...
Channel output quantization to a smaller number of outputs is modeled as a mismatched decoding probl...
ows. In this sense, randomly chosen index assignments are asymptotically bad for uniform sources. Bo...
169 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1998.Necessary conditions for the ...
169 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1998.Necessary conditions for the ...
This chapter contains a discussion of quantization over noisy channels. The effects of channel noise...
High-rate analysis of channel-optimized vector quantizationThis paper considers the high-rate perfor...
High-rate analysis of channel-optimized vector quantizationThis paper considers the high-rate perfor...
We investigate reliable communication over quantized channels from an information theoretical point ...
The classical theory of lossy source coding focuses on the performance, in terms of rate and distort...
This thesis deals with the redundant index assignment (IA) problem for a type of noisy channel vecto...
This thesis deals with the redundant index assignment (IA) problem for a type of noisy channel vecto...