Title :
The decision controlled adaptive LMS Tauberian deconvolution
Author :
Zhang, Liang ; Zhao-Xiong ; Chen, Hong-Bin
Author_Institution :
Dept. of Electron. Eng., Shanghai Jiao-Tong Univ., China
Abstract :
A method is proposed for modeling a measured signal as the output of an all-pole linear system with noncausal impulse response. The signal model parameters and the exciting signal are obtained by the decision controlled adaptive (DCA) least-mean-squares (LMS) algorithm. The complete solution can be obtained when only the output of the model is known. Its features and advantages with respect to other techniques are pointed out
Keywords :
adaptive filters; filtering and prediction theory; least squares approximations; linear systems; signal processing; Tauberian deconvolution; all-pole linear system; decision controlled adaptive LMS; exciting signal; measured signal; noncausal impulse response; signal model parameters; Adaptive control; Deconvolution; Filters; Geophysical measurements; Geophysics computing; Least squares approximation; Least squares methods; Predictive models; Programmable control; Technological innovation;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1989. ICASSP-89., 1989 International Conference on
Conference_Location :
Glasgow
DOI :
10.1109/ICASSP.1989.266915
