This chapter contains a discussion of quantization over noisy channels. The effects of channel noise on the performance of vector quantizers are discussed and algorithms for the design of noisy-channel vector quantizers are presented. It is argued that in certain practical situations where delay and complexity place hard limits on system parameters, a combined source-channel coding approach might be preferable to the more traditional tandem source-channel coding. Examples of full-searched, multi- stage and finite-state vector quantization designed for a noisy channel are provided for coding of speech line spectrum pair parameters
This dissertation focuses on different quantization methods in speech coding. Variable rate quantiza...
The paper briefly discusses techniques for making vector quantizers more tolerant to tranmsission er...
Transmission and storage of speech require an efficient representation of the speech signal. The con...
Under noiseless channel conditions and for sources with memory, finite-state vector quantizers (FSVQ...
Wnile there is ample evidence that vector quantization is a very useful technique for data compressi...
A fundamental problem in communication is the transmission of an information source across a communi...
This thesis considers vector quantization for noisy channels. Vector quantization (VQ) is an importa...
This thesis considers vector quantization for noisy channels. Vector quantization (VQ) is an importa...
This paper considers the high-rate performance of source coding for noisy discrete symmetric channel...
The demand for efficient transmission and storage of, for example, speech signals poses high require...
The demand for efficient transmission and storage of, for example, speech signals poses high require...
This paper considers the design and analysis of a filter at the receiver of a source coding system t...
This paper considers the design and analysis of a filter at the receiver of a source coding system t...
Digital speech coding is concerned with representing a discrete-time speech signal with as few bits ...
The finite-state vector quantizer (FSVQ), introduced by Foster, Dunham and Gray, is a finite-state m...
This dissertation focuses on different quantization methods in speech coding. Variable rate quantiza...
The paper briefly discusses techniques for making vector quantizers more tolerant to tranmsission er...
Transmission and storage of speech require an efficient representation of the speech signal. The con...
Under noiseless channel conditions and for sources with memory, finite-state vector quantizers (FSVQ...
Wnile there is ample evidence that vector quantization is a very useful technique for data compressi...
A fundamental problem in communication is the transmission of an information source across a communi...
This thesis considers vector quantization for noisy channels. Vector quantization (VQ) is an importa...
This thesis considers vector quantization for noisy channels. Vector quantization (VQ) is an importa...
This paper considers the high-rate performance of source coding for noisy discrete symmetric channel...
The demand for efficient transmission and storage of, for example, speech signals poses high require...
The demand for efficient transmission and storage of, for example, speech signals poses high require...
This paper considers the design and analysis of a filter at the receiver of a source coding system t...
This paper considers the design and analysis of a filter at the receiver of a source coding system t...
Digital speech coding is concerned with representing a discrete-time speech signal with as few bits ...
The finite-state vector quantizer (FSVQ), introduced by Foster, Dunham and Gray, is a finite-state m...
This dissertation focuses on different quantization methods in speech coding. Variable rate quantiza...
The paper briefly discusses techniques for making vector quantizers more tolerant to tranmsission er...
Transmission and storage of speech require an efficient representation of the speech signal. The con...