Improvement on singular value decomposition vector quantization

1990 ◽  
Vol 73 (2) ◽  
pp. 11-20 ◽  
Author(s):  
Takahiro Saito ◽  
Takashi Komatsu ◽  
Hiroshi Harashima
Keyword(s):  
Singular Value Decomposition ◽  
Vector Quantization ◽  
Singular Value ◽  
Value Decomposition

scholarly journals A discrete wavelet transform-singular value decomposition system for image coding

2007 ◽  
Vol 5 (02) ◽  
Author(s):  
H. de Jesús Ochoa-Domí­nguez ◽  
K. R. Rao
Keyword(s):  
Wavelet Transform ◽  
Singular Value Decomposition ◽  
Vector Quantization ◽  
Image Coding ◽  
Decision Criterion ◽  
Singular Value ◽  
Discrete Wavelet ◽  
Scalar Quantization ◽  
Value Decomposition ◽  
Decomposition System

A system that combines techniques of wavelet transform (DWT) and singular value decomposition (SVD) to encode images is presented. The image is divided into tiles or blocks of 64x64 pixels. The decision criterion as to which transform to use is based on the standard deviation of the 8x8 pixel subblocks of the tile to encode. A successive approximation quantizer is used to encode the subbands and vector quantization/scalar quantization is used to encode the SVD eigenvectors/eigenvalues, respectively. For coding color images, the RGB components are transformed into YCbCr before encoding in 4:2:0 format. Results show that the proposed system outperforms the JPEG and approaches the JPEG2000.

scholarly journals Adaptive vector quantization in SVD MIMO system backward link with limited number of active sub channels

2004 ◽  
Vol 1 (3) ◽  
pp. 113-123
Author(s):  
Predrag Ivanis ◽  
Dusan Drajic
Keyword(s):  
Singular Value Decomposition ◽  
Vector Quantization ◽  
Bit Error Rate ◽  
Error Rate ◽  
Mimo Systems ◽  
Mimo System ◽  
Singular Value ◽  
Lbg Algorithm ◽  
Adaptive Vector Quantization ◽  
Value Decomposition

This paper presents combination of Channel Optimized Vector Quantization based on LBG algorithm and sub channel power allocation for MIMO systems with Singular Value Decomposition and limited number of active sub channels. Proposed algorithm is designed to enable maximal throughput with bit error rate bellow some tar- get level in case of backward channel capacity limitation. Presence of errors effect in backward channel is also considered.

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