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
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;
Conference_Titel :
Digital Signal Processing, 2002. DSP 2002. 2002 14th International Conference on
Print_ISBN :
0-7803-7503-3
DOI :
10.1109/ICDSP.2002.1028198
