This correspondence presents entropy analyses for dithered and undithered quantized sources. Two methods are discussed that reduce the increase in entropy caused by the dither. The first method supplies the dither to the lossless encoding-decoding scheme. It is argued that this increases the complexity of the encoding-decoding scheme. A method to reduce this complexity is proposed. The second method is the usage of a dead-zone quantizer. A procedure for determining the optimal dead-zone width in the mean-square sense is give
We introduce a universal quantization scheme based on random coding, and we analyze its performance....
International Telemetering Conference Proceedings / October 25-28, 1999 / Riviera Hotel and Conventi...
In this paper, we investigate a lossy source coding problem, where an upper limit on the permitted d...
This correspondence presents entropy analyses for dithered and undithered quantized sources. Two met...
Assuming the squared error distortion measure, we bound the performance achieved by using scalar ent...
A theoretical survey of multibit quantization is presented, beginning with the classical model of un...
We consider encoding of a source with a pre-specified second order statistics, but otherwise arbitra...
In this paper, we build multi-resolution source codes using entropy con-strained dithered scalar qua...
By focusing on a class of source coding schemes built around entropy coded dithered quantizers, we d...
Data compression is the art of using encoding techniques to represent data symbols using less storag...
Abstract. Statistical description of quantization process is common in the theory of quantization. F...
Lossless compression of signals is of interest in a wide variety of fields such as geophysics, telem...
We address the connection between the multiple-description (MD) problem and Delta-Sigma quanti-zatio...
Conventional quantization distorts the probability density of the source. In scenarios such as low b...
Abstract: If we can use previous knowledge of the source (or the knowledge of a source that is corre...
We introduce a universal quantization scheme based on random coding, and we analyze its performance....
International Telemetering Conference Proceedings / October 25-28, 1999 / Riviera Hotel and Conventi...
In this paper, we investigate a lossy source coding problem, where an upper limit on the permitted d...
This correspondence presents entropy analyses for dithered and undithered quantized sources. Two met...
Assuming the squared error distortion measure, we bound the performance achieved by using scalar ent...
A theoretical survey of multibit quantization is presented, beginning with the classical model of un...
We consider encoding of a source with a pre-specified second order statistics, but otherwise arbitra...
In this paper, we build multi-resolution source codes using entropy con-strained dithered scalar qua...
By focusing on a class of source coding schemes built around entropy coded dithered quantizers, we d...
Data compression is the art of using encoding techniques to represent data symbols using less storag...
Abstract. Statistical description of quantization process is common in the theory of quantization. F...
Lossless compression of signals is of interest in a wide variety of fields such as geophysics, telem...
We address the connection between the multiple-description (MD) problem and Delta-Sigma quanti-zatio...
Conventional quantization distorts the probability density of the source. In scenarios such as low b...
Abstract: If we can use previous knowledge of the source (or the knowledge of a source that is corre...
We introduce a universal quantization scheme based on random coding, and we analyze its performance....
International Telemetering Conference Proceedings / October 25-28, 1999 / Riviera Hotel and Conventi...
In this paper, we investigate a lossy source coding problem, where an upper limit on the permitted d...