DocumentCode :
3015914
Title :
Properties and generation of non-Gaussian time series
Author :
Johnson, Don H. ; Rao, Patri Sreehari
Author_Institution :
Rice University, Houston, TX
Volume :
12
fYear :
1987
fDate :
6-9 April 1987
Firstpage :
37
Lastpage :
40
Abstract :
It is shown that non-Gaussian time series require new analysis methods to extract their structure. Spectral analysis does not seem to provide the precise information required to analyze important aspects of a time series. The conditional expected value can, in simple cases, be related to Components of the Barrett-Lampard expansion, which provides a mathematical tool for determining the system which can generate the time series.
Keywords :
Density measurement; Entropy; Gaussian noise; Laplace equations; Power measurement; Random sequences; Signal generators; Signal processing; Signal processing algorithms; Spectral analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '87.
Conference_Location :
Dallas, TX, USA
Type :
conf
DOI :
10.1109/ICASSP.1987.1169624
Filename :
1169624
Link To Document :
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