DocumentCode :
2451825
Title :
Special estimation algorithm of AR model
Author :
Haiyan, Wu ; Xiaoqun, Zhao ; Xiaolei, Han
Author_Institution :
Sch. of Electron. & Inf., Tongji Univ., Shanghai, China
fYear :
2012
fDate :
16-18 July 2012
Firstpage :
996
Lastpage :
1000
Abstract :
Distortion will happen when normal signal is disturbed or interfered. The system resulting in signal distortion can be estimated in signal processing way. In order to overcome the defect of ordinary method of estimating the system model by FFT analysis, two algorithms are proposed in this paper, one is AR model estimate method by pole cancellation, another is AR model estimation method based on linear forecast analysis. The simulation results show that, compared with the shortcomings of the ordinary FFT method, the two algorithms can get the system model with distinguished feature and certain order.
Keywords :
distortion; fast Fourier transforms; signal processing; AR model; AR model estimation method; FFT analysis; linear forecast analysis; pole cancellation; signal distortion; signal processing; special estimation algorithm; Analytical models; Distortion; Estimation; Mathematical model; Predictive models; Signal processing algorithms; Speech;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Audio, Language and Image Processing (ICALIP), 2012 International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4673-0173-2
Type :
conf
DOI :
10.1109/ICALIP.2012.6376760
Filename :
6376760
Link To Document :
بازگشت