Title :
Gradual optimum adaptive filtering algorithm
Author :
Xing, Shi ; Qing-fen, Dai ; Li Le-Ming
Author_Institution :
C.I.E. Inst., Chengdu, China
Abstract :
A recursive adaptive filtering algorithm using total least squares (TLS) technique is proposed. The convergence property of the algorithm is explained. A gradual optimum from the least squares (LS) to LTS enable the filter to have a flexible allocation. The effectiveness of the algorithm is demonstrated and verified by simulation on the high level EDA integrated software SPW (Signal Processing Worksystem), it is shown that the proposed algorithm is superior to the conventional LS method and can be implemented easily
Keywords :
adaptive filters; adaptive signal processing; convergence of numerical methods; filtering theory; integrated software; least squares approximations; optimisation; recursive filters; Signal Processing Worksystem; convergence property; gradual optimum adaptive filtering algorithm; high level EDA integrated software SPW; least squares; recursive adaptive filtering algorithm; simulation; total least squares; Adaptive filters; Content addressable storage; Covariance matrix; Eigenvalues and eigenfunctions; Filtering algorithms; Linear matrix inequalities; Optimized production technology; Power filters; Signal processing algorithms; Virtual colonoscopy;
Conference_Titel :
Signal Processing, 1996., 3rd International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-2912-0
DOI :
10.1109/ICSIGP.1996.567333
