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