Add to ORKG169 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1998.Necessary conditions for the optimality of binary lattice vector quantizers with respect to the mean squared error distortion criterion are derived for both noiseless and noisy discrete memoryless channels.U of I OnlyRestricted to the U of I community idenfinitely during batch ingest of legacy ETD
This dissertation focuses on different quantization methods in speech coding. Variable rate quantiza...
We consider high-rate scalar quantization of a memoryless source for transmission over a binary symm...
This dissertation focuses on different quantization methods in speech coding.<p /> <I>Variable rate ...
169 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1998.Necessary conditions for the ...
ows. In this sense, randomly chosen index assignments are asymptotically bad for uniform sources. Bo...
This paper investigates the optimal quantisation decoder to use for a range of channel conditions wh...
Wnile there is ample evidence that vector quantization is a very useful technique for data compressi...
This paper presents a study of the nature of optimal quantizer/dequantizer pairs for use with binary...
This paper considers the design and analysis of a filter at the receiver of a source coding system t...
In this paper, we present an analysis of the zero-memory quantization of memoryless sources when the...
This paper considers the design and analysis of a filter at the receiver of a source coding system t...
This chapter contains a discussion of quantization over noisy channels. The effects of channel noise...
We consider fixed-rate k- dimensional lattice vector quantization of generalized Gaussian sources w...
The problem of designing a multiple description vector quantizer with lattice codebook Λ is consider...
A fundamental problem in communication is the transmission of an information source across a communi...
This dissertation focuses on different quantization methods in speech coding. Variable rate quantiza...
We consider high-rate scalar quantization of a memoryless source for transmission over a binary symm...
This dissertation focuses on different quantization methods in speech coding.<p /> <I>Variable rate ...
169 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1998.Necessary conditions for the ...
ows. In this sense, randomly chosen index assignments are asymptotically bad for uniform sources. Bo...
This paper investigates the optimal quantisation decoder to use for a range of channel conditions wh...
Wnile there is ample evidence that vector quantization is a very useful technique for data compressi...
This paper presents a study of the nature of optimal quantizer/dequantizer pairs for use with binary...
This paper considers the design and analysis of a filter at the receiver of a source coding system t...
In this paper, we present an analysis of the zero-memory quantization of memoryless sources when the...
This paper considers the design and analysis of a filter at the receiver of a source coding system t...
This chapter contains a discussion of quantization over noisy channels. The effects of channel noise...
We consider fixed-rate k- dimensional lattice vector quantization of generalized Gaussian sources w...
The problem of designing a multiple description vector quantizer with lattice codebook Λ is consider...
A fundamental problem in communication is the transmission of an information source across a communi...
This dissertation focuses on different quantization methods in speech coding. Variable rate quantiza...
We consider high-rate scalar quantization of a memoryless source for transmission over a binary symm...
This dissertation focuses on different quantization methods in speech coding.<p /> <I>Variable rate ...