Title :
Block trigonometric transform adaptive filtering
Author :
Merched, Ricardo ; Sayed, Ali H.
Author_Institution :
Dept. of Electr. Eng., California State Univ., Los Angeles, CA, USA
Abstract :
Frequency-domain implementations improve the computational efficiency and the convergence rate of adaptive schemes. This paper develops frequency-domain adaptive structures that are based on the trigonometric transforms DCT and DST. The structures involve only real arithmetic and efficient algorithms exist for computing these transforms. The new filters are derived by first presenting a derivation for the classical DFT-based filter that allows us to pursue these extensions very immediately.
Keywords :
adaptive filters; computational complexity; convergence of numerical methods; discrete cosine transforms; frequency-domain analysis; DCT; DFT-based filter; DST; adaptive schemes; block trigonometric transform adaptive filtering; computational efficiency; convergence rate; frequency-domain adaptive structures; frequency-domain implementations; trigonometric transforms; Acoustic applications; Adaptive algorithm; Adaptive filters; Adaptive signal processing; Arithmetic; Computational complexity; Convergence; Covariance matrix; Discrete cosine transforms; Signal processing algorithms;
Conference_Titel :
Signals, Systems & Computers, 1998. Conference Record of the Thirty-Second Asilomar Conference on
Conference_Location :
Pacific Grove, CA, USA
Print_ISBN :
0-7803-5148-7
DOI :
10.1109/ACSSC.1998.750891
