Add to ORKGA new idea for waveform coding using vector quantisation (VQ) is introduced. This idea makes it possible to deal with codevectors much larger than before for a fixed bit per sample rate. Also a solution to the matching problem (inherent in the present context) in the &-norm describing a measure of neamess is presented. The overall computational complexity of this solution is O(n3 log, n). Sample results are presented to demonstrate the advantage of using this technique in the context of coding of speech waveforms
This paper discusses preliminary results of ongoing research to utilize vector quantization to achie...
During the past ten years Vector Quantization (VQ) has developed from a theoretical possibility prom...
In this treatise a range of Line Spectrum Frequency (LSF) Vector Quantization (VQ) schemes were stud...
A new idea for waveform coding using vector quantization (VQ) is introduced. This idea makes it poss...
Transmission and storage of speech require an efficient representation of the speech signal. The con...
Transmission and storage of speech require an efficient representation of the speech signal. The con...
Vector Quantization (VQ) is a lossy data compression technique that is often applied in the field of...
This dissertation focuses on different quantization methods in speech coding. Variable rate quantiza...
This dissertation focuses on different quantization methods in speech coding.<p /> <I>Variable rate ...
Mostly transforms are used for speech data compressions which are lossy algorithms. Such algorithms ...
In this paper, we present a multiple stage vector quantization technique which allows easy expansion...
This thesis is about compression of speech signals, a research area known as speech coding. The aim ...
This thesis is about compression of speech signals, a research area known as speech coding. The aim ...
Optimal vector quantization of variable-dimension vectors in principle is feasible by using a set of...
The objective of the proposed research is to compress data such as speech, audio, and images using a...
This paper discusses preliminary results of ongoing research to utilize vector quantization to achie...
During the past ten years Vector Quantization (VQ) has developed from a theoretical possibility prom...
In this treatise a range of Line Spectrum Frequency (LSF) Vector Quantization (VQ) schemes were stud...
A new idea for waveform coding using vector quantization (VQ) is introduced. This idea makes it poss...
Transmission and storage of speech require an efficient representation of the speech signal. The con...
Transmission and storage of speech require an efficient representation of the speech signal. The con...
Vector Quantization (VQ) is a lossy data compression technique that is often applied in the field of...
This dissertation focuses on different quantization methods in speech coding. Variable rate quantiza...
This dissertation focuses on different quantization methods in speech coding.<p /> <I>Variable rate ...
Mostly transforms are used for speech data compressions which are lossy algorithms. Such algorithms ...
In this paper, we present a multiple stage vector quantization technique which allows easy expansion...
This thesis is about compression of speech signals, a research area known as speech coding. The aim ...
This thesis is about compression of speech signals, a research area known as speech coding. The aim ...
Optimal vector quantization of variable-dimension vectors in principle is feasible by using a set of...
The objective of the proposed research is to compress data such as speech, audio, and images using a...
This paper discusses preliminary results of ongoing research to utilize vector quantization to achie...
During the past ten years Vector Quantization (VQ) has developed from a theoretical possibility prom...
In this treatise a range of Line Spectrum Frequency (LSF) Vector Quantization (VQ) schemes were stud...