Title :
Adaptive discrete cosine transform
Author :
Bukowinski, Stephen J. ; Gerhardt, Lester ; Fargues, Monique ; Coutu, Gerard
Author_Institution :
Hamilton Stand., Windsor Locks, CT, USA
fDate :
Oct. 30 1995-Nov. 1 1995
Abstract :
The theory and performance of the adaptive discrete cosine transform filter is examined. The discrete cosine transform filter is a realization of an FIR filter as the cascade of an all-zero FIR filter with a bank of IIR digital resonators. Each bank has a single magnitude and a single phase. The result of such a realization is that each coefficient can be directly identified with an amplitude or a phase of the transfer function at a particular frequency when run as an adaptive filter. The update method examined is the LMS algorithm, with the coefficients being adapted as the magnitudes and phases at a full range of frequencies.
Keywords :
adaptive filters; FIR filter; IIR digital resonators; LMS algorithm; adaptive discrete cosine transform filter; all-zero FIR filter; filter coefficient; frequency; magnitude; phase; transfer function; update method; Adaptive filters; Digital filters; Discrete cosine transforms; Filtering theory; Finite impulse response filter; Frequency; IIR filters; Least squares approximation; Resonator filters; Transfer functions;
Conference_Titel :
Signals, Systems and Computers, 1995. 1995 Conference Record of the Twenty-Ninth Asilomar Conference on
Conference_Location :
Pacific Grove, CA, USA
Print_ISBN :
0-8186-7370-2
DOI :
10.1109/ACSSC.1995.540857