DocumentCode :
1378866
Title :
Cross spectral analysis of nonstationary processes
Author :
White, Langford B. ; Boashash, Boualem
Author_Institution :
Defence Sci. & Technol. Organ., Salisbury, SA, Australia
Volume :
36
Issue :
4
fYear :
1990
fDate :
7/1/1990 12:00:00 AM
Firstpage :
830
Lastpage :
835
Abstract :
Consideration is given to the generalization of stationary cross spectral analysis methods to a class of nonstationary processes, specifically, the class of semistationary finite energy processes possessing sample functions that are of finite energy almost surely. A new quantity called the time-frequency coherence (TFC) is defined, and it is demonstrated that its properties are analogous to those possessed by the stationary coherence function. The problem of estimating the TFC by using elements of L. Cohen´s (1966) class of joint time-frequency representations is investigated. It is shown that the only admissible estimators are those based on the class of time-frequency smoothed periodograms. Thus, the familiar procedure of segmentation and (smoothed) short-time Fourier analysis cannot be improved upon (within the framework considered) by the use of the higher-resolution nonparametric time-frequency methods. Procedures for selection of the appropriate estimators and a possible application are suggested
Keywords :
information theory; random processes; spectral analysis; cross spectral analysis; estimators; nonstationary processes; random processes; segmentation; semistationary finite energy processes; short-time Fourier analysis; stationary coherence function; time-frequency coherence; time-frequency smoothed periodograms; Australia; Bonding; Energy measurement; Gold; Helium; Materials science and technology; Random processes; Signal processing; Spectral analysis; Time frequency analysis;
fLanguage :
English
Journal_Title :
Information Theory, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9448
Type :
jour
DOI :
10.1109/18.53742
Filename :
53742
Link To Document :
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