Title :
A new noncausal AR system identification method based on cepstrum
Author :
Chen, Bin-Ning ; Da Zhang, Xian
Author_Institution :
Dept. of Autom., Tsinghua Univ., Beijing, China
Abstract :
In this paper, a new noncausal AR system identification method based on cepstrum is presented. The proposed method converts the noncausal AR system identification to nonminimum phase MA system identification in the cepstrum domain. The AR order need not be known as a priori, and it is a byproduct of the parameter estimation procedure. An efficient order determination method that can be implemented in an adaptive process is also addressed. Simulation results are presented to show the performance of the new method
Keywords :
adaptive systems; autoregressive moving average processes; cepstral analysis; parameter estimation; adaptive process; cepstrum; noncausal AR system; nonminimum phase MA system identification; order determination method; parameter estimation procedure; system identification method; Cepstrum; Finite impulse response filter; Geophysical measurements; Geophysical signal processing; Image processing; Parameter estimation; Signal processing; Signal processing algorithms; Speech processing; System identification;
Conference_Titel :
Circuits and Systems, 1997. ISCAS '97., Proceedings of 1997 IEEE International Symposium on
Print_ISBN :
0-7803-3583-X
DOI :
10.1109/ISCAS.1997.612833
