Title
An extended Levinson-Durbin algorithm for the analysis of noisy autoregressive process
Abstract
An extended Levinson-Durbin algorithm is proposed to recursively calculate the linear prediction coefficients and their derivatives with respect to the noise power for a noisy auto regressive process. This algorithm would be useful in some applications or analysis related to an autoregressive (AR) process that is contaminated by additive white noise.
Year
DOI
Venue
1996
10.1109/97.475824
Signal Processing Letters, IEEE
Keywords
DocType
Volume
additive white noise,speech recognition,extended levinson-durbin algorithm,linear prediction coefficients,recursive calculation,autoregressive processes,prediction theory,white noise,recursive estimation,noisy autoregressive process,noise power,interference (signal),autoregressive process,regression analysis,algorithms,auto regressive
Journal
3
Issue
ISSN
Citations 
1
1070-9908
2
PageRank 
References 
Authors
0.57
2
2
Name
Order
Citations
PageRank
Lee-Min Lee1468.10
Hsiao-Chuan Wang237064.93