DocumentCode
948957
Title
A comparison of five methods for computing the power spectrum of a random process using data segmentation
Author
Yuen, C.K.
Author_Institution
University of Tasmania, Hobart, Australia
Volume
65
Issue
6
fYear
1977
fDate
6/1/1977 12:00:00 AM
Firstpage
984
Lastpage
986
Abstract
When we compute the power spectrum of a long input vector with limited core memory it is necessary to segment the data. Five alternative methods are possible. This paper presents a number of computed results comparing the resolution, stability, and overall quality of these methods.
Keywords
Autocorrelation; Fast Fourier transforms; Filtering; Fourier transforms; Information science; Joining processes; Random number generation; Random processes; Stability; White noise;
fLanguage
English
Journal_Title
Proceedings of the IEEE
Publisher
ieee
ISSN
0018-9219
Type
jour
DOI
10.1109/PROC.1977.10600
Filename
1454869
Link To Document