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
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