Reduction of the impact of distortion outliers and source mismatch in resolution-constrained quantization

Authors:
Moo Young Kim;W. Bastiaan Kleijn
Affiliations:
Department of Information and Communication Engineering, Biometrics Engineering Research Center, Sejong University, Seoul, Korea;School of Electrical Engineering, Sound and Image Processing Lab, Royal Institute of Technology, Stockholm, Sweden
Venue:
IEEE Transactions on Audio, Speech, and Language Processing
Year:
2010

Citing 7
Cited 1

Vector quantization and signal compression

Vector quantization and signal compression
Elements of information theory

Elements of information theory
Source Coding Theory

Source Coding Theory
The SMV algorithm selected by TIA and 3GPP2 for CDMA applications

ICASSP '01 Proceedings of the Acoustics, Speech, and Signal Processing, 200. on IEEE International Conference - Volume 02
Generalized kraft inequality and arithmetic coding

IBM Journal of Research and Development
Quantization

IEEE Transactions on Information Theory
Bennett's integral for vector quantizers

IEEE Transactions on Information Theory

Fast communication: Spectral envelope quantization based on conditional inter-frame prediction

Signal Processing

Quantified Score

Hi-index	0.00

Visualization

Abstract

The rate-distortion performance of conventional resolution-constrained quantization (RCQ) based on the mean-squared error criterion (MSE-RCQ) is generally compromised by the impact of distortion outliers and source mismatch. Not only the mean distortion, but also the number of distortion outliers should be considered in quantizer design. Thus, we propose the use of a design criterion that gives more importance to the tail of the source distribution, which leads to RCQ based on the second moment of distortion (SMD-RCQ). A continuous range of alternatives between MSE-RCQ and SMD-RCQ is also defined and implemented based on the weighted arithmetic-mean measure (WAM-RCQ). It can be used to control the centroid density in the tail of the source distribution. Experimental results with a Gaussian source and line spectral frequencies (LSFs) show that the proposed WAM-RCQ not only produces a similar mean distortion as conventional MSE-RCQ, but has a lower percentage of distortion outliers and a significantly reduced sensitivity to source mismatch.