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A comparison of five methods for computing the power spectrum of a random process using data segmentation

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1 Author(s)
Yuen, C.K. ; University of Tasmania, Hobart, Australia

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.

Published in:

Proceedings of the IEEE  (Volume:65 ,  Issue: 6 )

Date of Publication:

June 1977

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