DocumentCode :
2508802
Title :
Application of principal component filter banks to subband coding
Author :
Xuan, Bo ; Bamberger, Roberto H.
Author_Institution :
Sch. of Electr. Eng. & Comput. Sci., Washington State Univ., Pullman, WA, USA
Volume :
2
fYear :
1996
fDate :
14-18 Oct 1996
Firstpage :
1739
Abstract :
Signal-adaptive multi-rate filter banks have received a growing interest in the research community. The filter banks are designed to match the statistical properties of the input signals. In particular, a principal component filter bank (PCFB) attains maximal energy compaction in the sense that the mean squared error between the input and output (when only a limited number of subbands are retained for reconstruction) is minimized, hence maximizing the theoretical coding gain (TCG). While the theoretical aspects have been developed in detail previously, this paper discusses the application of PCFBs to subband coding of images
Keywords :
adaptive filters; data compression; image coding; image reconstruction; least mean squares methods; multidimensional digital filters; PCFB; energy compaction; images; input signals; mean squared error; principal component filter banks; reconstruction; signal-adaptive multi-rate filter banks; statistical properties; subband coding; theoretical coding gain; Band pass filters; Channel bank filters; Filter bank; Frequency; Image coding; Image reconstruction; Phase change materials; Phase distortion; Signal design; Signal synthesis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing, 1996., 3rd International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-2912-0
Type :
conf
DOI :
10.1109/ICSIGP.1996.571274
Filename :
571274
Link To Document :
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