Title :
Adaptive algorithms for constrained ARMA signals in the presence of noise
Author :
Nehorai, Arye ; Stoica, Petre
Author_Institution :
Yale University, New Haven, CT, USA
Abstract :
A new family of algorithms is developed for adaptive parameter estimation of constrained autoregressive moving-average (ARMA) signals in the presence of noise. These algorithms utilize a priori known information concerning the signal´s properties, such as its spectral shape or a spatial domain characteristic. Special cases include autoregressive (AR) and band-pass spectrum signals in the presence of noise, signal deconvolution and image deblurring.
Keywords :
Adaptive algorithm; Computed tomography; Deconvolution; Noise measurement; Noise shaping; Pollution measurement; Polynomials; Recursive estimation; Spectral shape; White noise;
Conference_Titel :
Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '87.
DOI :
10.1109/ICASSP.1987.1169816
