Title :
Identification of optimal paraunitary filter banks by principal component analysis
Author :
Yeung, W.L. ; Kwong, C.P.
Author_Institution :
Dept. of Mech. & Autom. Eng., Chinese Univ. of Hong Kong, Shatin
Abstract :
An improved method for the identification of optimal paraunitary filter banks in a subband domain Wiener filtering system is proposed. The method is based on the theory of principal components which provides a theoretical close form solution to the problem. The analytical solution gives more insight to the problem and makes the resulting system more amenable to analysis
Keywords :
FIR filters; Wiener filters; band-pass filters; circuit optimisation; filtering theory; identification; matrix algebra; signal reconstruction; FIR filter; analytical solution; close form solution; matrix optimisation; optimal paraunitary filter bank identification; perfect reconstruction property; principal component analysis; subband domain Wiener filtering system; Channel bank filters; Colored noise; Filter bank; Filtering theory; Finite impulse response filter; Principal component analysis; Programmable control; Upper bound; Vectors; Wiener filter;
Conference_Titel :
Digital Signal Processing Proceedings, 1997. DSP 97., 1997 13th International Conference on
Conference_Location :
Santorini
Print_ISBN :
0-7803-4137-6
DOI :
10.1109/ICDSP.1997.628422
