DocumentCode
2161792
Title
ARMA modelling based on root cepstral deconvolution
Author
Sarpal, S. ; Chilton, E.
Author_Institution
Centre for Vision, Speech & Signal Process., Surrey Univ., Guildford, UK
Volume
2
fYear
2002
fDate
2002
Firstpage
745
Abstract
Cepstral deconvolution has been successfully applied to many diverse fields, such as speech and seismic analysis. Thus far, all cepstral modelling performance has been empirical, relying on the judgement of the designer. A novel method for measuring root cepstral ARMA modelling performance is proposed, by introducing a cost function applied directly to the root cepstral domain. It is, therefore, possible to demonstrate the optimised modelling of an ARMA process and show that its performance is superior to that of a FIR Wiener filter and linear prediction.
Keywords
adaptive filters; autoregressive moving average processes; cepstral analysis; deconvolution; filtering theory; optimisation; poles and zeros; ARMA modelling; cost function; optimised modelling; performance; poles and zeros; root cepstral deconvolution; Autoregressive processes; Cepstral analysis; Cepstrum; Deconvolution; Finite impulse response filter; Poles and zeros; Predictive models; Speech analysis; Speech processing; Wiener filter;
fLanguage
English
Publisher
ieee
Conference_Titel
Digital Signal Processing, 2002. DSP 2002. 2002 14th International Conference on
Print_ISBN
0-7803-7503-3
Type
conf
DOI
10.1109/ICDSP.2002.1028198
Filename
1028198
Link To Document