Title :
Rational models for quasi-periodic signals
Author :
Chaparro, L.F. ; Shufelt, G.
Author_Institution :
University of Pittsburgh, Pittsburgh, PA, USA
fDate :
4/1/1986 12:00:00 AM
Abstract :
This letter presents an efficient least squares procedure to obtain autoregressive integrated moving average (ARIMA) models for non-stationary, quasi-periodic signals. This new procedure is applied to the modeling of voiced speech and textural images.
Keywords :
Acoustic signal processing; Carbon capture and storage; Decorrelation; Filters; Lattices; Least squares approximation; Noise cancellation; Signal processing algorithms; Speech analysis; Speech processing;
Journal_Title :
Proceedings of the IEEE
DOI :
10.1109/PROC.1986.13512
