DATA-COMPRESSION BY MULTIRESOLUTION TREE-SEARCH

被引:6
作者
CHU, CHH
机构
[1] Univ. of Southwestern Louisiana, Lafayette, LA
关键词
ADAPTIVE WAVELET TRANSFORMS; DATA COMPRESSION; GENETIC ALGORITHMS;
D O I
10.1117/12.172251
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
Wavelet decomposition of data has been used with success in a large class of signal and image processing tasks. The wavelet packets representation is a decomposition that includes as a special case the wavelet transform. In this scheme, wavelet packets are assembled as a representation of the signal. There exist a large number of possible wavelet combinations for each signal. An adaptation scheme based on the genetic optimization method is presented for determining an optimal representation for data compression. Experiment results using real data as well as autoregressive random processes are used to compare the performance of the adapted packets and the wavelet transform.
引用
收藏
页码:2136 / 2142
页数:7
相关论文
共 13 条
[11]   NEURAL NETWORK ADAPTIVE WAVELETS FOR SIGNAL REPRESENTATION AND CLASSIFICATION [J].
SZU, HH ;
TELFER, B ;
KADAMBE, S .
OPTICAL ENGINEERING, 1992, 31 (09) :1907-1916
[12]   NEURAL-NETWORK AND WAVELET TRANSFORM FOR SCALE-INVARIANT DATA CLASSIFICATION [J].
SZU, HH ;
YANG, XY ;
TELFER, BA ;
SHENG, YL .
PHYSICAL REVIEW E, 1993, 48 (02) :1497-1501
[13]   SUBBAND CODING OF IMAGES [J].
WOODS, JW ;
ONEIL, SD .
IEEE TRANSACTIONS ON ACOUSTICS SPEECH AND SIGNAL PROCESSING, 1986, 34 (05) :1278-1288