DocumentCode
937539
Title
Analysis of transient data in noise
Author
Cadzow, J.A. ; Wu, M.-M.
Author_Institution
Arizona State University, Department of Electrical & Computer Engineering, Tempe, USA
Volume
134
Issue
1
fYear
1987
fDate
2/1/1987 12:00:00 AM
Firstpage
69
Lastpage
78
Abstract
A linear prediction method for accurately estimating the parameters of a rational model of transient-type data is presented. This method makes use of the singular value decomposition of an extended-order autocorrelation-like matrix estimate associated with the time series being analysed. The method is first tested on simulated data consisting of three exponentially damped sinusoids of closely spaced frequencies in additive white Gaussian noise. Next, the method is used to analyse nuclear magnetic resonance (NMR) data.
Keywords
signal processing; NMR; extended-order autocorrelation-like matrix; linear prediction method; noise; signal processing; singular value decomposition; transient data; white Gaussian noise;
fLanguage
English
Journal_Title
Communications, Radar and Signal Processing, IEE Proceedings F
Publisher
iet
ISSN
0143-7070
Type
jour
DOI
10.1049/ip-f-1:19870013
Filename
4647041
Link To Document