Time-varying and support preservative filter banks: design of optimal transition and boundary filters via SVD

Author

Mertins, Alfred

Author_Institution

Dept. of Telecommun., Hamburg Univ. of Technol., Germany

Volume

2

fYear

1995

fDate

9-12 May 1995

Firstpage

1316

Abstract

Methods for switching filter coefficients and filter bank structures and methods for processing finite length signals are studied. The problem of designing optimal boundary and transition filters is solved directly via singular value decomposition (SVD) while the optimality criterion is based on the subband statistics. The optimized filters provide a good match between the subband statistics in the transition regions (and at the boundaries) to the statistics in the steady state. The filter banks considered are maximally decimated M-channel linear and non-linear phase (biorthogonal and paraunitary) filter banks with real filter coefficients

Keywords

band-pass filters; circuit optimisation; delay circuits; filtering theory; signal processing; singular value decomposition; time-varying filters; SVD; biorthogonal filter banks; filter bank structures; filter design; finite length signals processing; maximally decimated M-channel linear filter banks; nonlinear phase filter banks; optimal boundary filters; optimal transition filters; optimized filters; paraunitary filter banks; real filter coefficients; singular value decomposition; steady state statistics; subband statistics; support preservative filter banks; time-varying filter banks; Channel bank filters; Convolution; Filter bank; Reflection; Signal processing; Singular value decomposition; Statistics; Steady-state; Switches; Telecommunication switching;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1995. ICASSP-95., 1995 International Conference on

Conference_Location

Detroit, MI

ISSN

1520-6149

Print_ISBN

0-7803-2431-5

Type

conf

DOI

10.1109/ICASSP.1995.480482

Filename

480482