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