Title :
Statistically optimal synthesis banks for subband coders
Author :
Vaidyanathan, P.P. ; Chen, Tsuhan
Author_Institution :
Dept. of Electr. Eng., California Inst. of Technol., Pasadena, CA, USA
fDate :
31 Oct-2 Nov 1994
Abstract :
In maximally decimated filter banks, the perfect reconstruction or biorthogonal solution is not necessarily the best choice when subband quantizers are present. Under suitable statistical assumptions, expressions for the best synthesis bank can be derived in terms of the analysis bank and other statistical quantities. We explore this topic for subband coders and the special case of transform coders. We highlight the statistical conditions under which the biorthogonal solution is still the best. We derive expressions for the Wiener filter matrix in terms of the joint statistics of appropriate signals. Special cases where the optimal synthesis filter bank is the biorthogonal system followed by a scalar post filter are also considered
Keywords :
Wiener filters; band-pass filters; filtering theory; matrix algebra; quantisation (signal); statistical analysis; transform coding; Wiener filter matrix; analysis bank; biorthogonal solution; biorthogonal system; joint signal statistics; maximally decimated filter banks; optimal synthesis filter bank; perfect reconstruction; scalar post filter; statistical assumptions; statistical conditions; statistically optimal synthesis banks; subband coders; subband quantizers; transform coders; Bit rate; Filter bank; H infinity control; Quantization; Signal design; Signal synthesis; Statistics; Vectors; Wiener filter;
Conference_Titel :
Signals, Systems and Computers, 1994. 1994 Conference Record of the Twenty-Eighth Asilomar Conference on
Conference_Location :
Pacific Grove, CA
Print_ISBN :
0-8186-6405-3
DOI :
10.1109/ACSSC.1994.471607