Title :
A new block adaptation algorithm realizing rapid identification system
Author :
Oh´ishi, KWio ; Kubota, Hajime ; Onoda, Mahoki
Author_Institution :
Dept. of Phys. Electron. Eng., Tokyo Inst. of Technol., Japan
Abstract :
The authors present a block adaptation algorithm that consists of the learning identification method and the Gram-Schmidt orthogonalization procedure. The adjustment vector is successively taken as the linear combination of some orthogonal bases derived from the state vectors in the block adaptation filter. Hence, when a complete orthogonal set is generated, the algorithm can estimate optimum coefficients in one block. The properties of the algorithm are described in a few theorems. Computer simulation shows that the algorithm has stable performance and rapid convergence
Keywords :
adaptive filters; filtering and prediction theory; identification; adaptive filters; adjustment vector; block adaptation algorithm; learning identification method; orthogonal bases; rapid convergence; Adaptive filters; Arithmetic; Computer simulation; Convergence; Equalizers; Noise cancellation; Nonlinear filters; Signal processing algorithms; Subscriptions; Vectors;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1989. ICASSP-89., 1989 International Conference on
Conference_Location :
Glasgow
DOI :
10.1109/ICASSP.1989.266593
