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Description

This tutorial report derives many properties of the autocorrelation matrix of a WSS random process, such as the distribution of eigenvalues, and relates them to the power spectral density. It especially relates these properties asymptotically as the dimension of the matrix approaches infinity. Along the way, it relates the matrix eigenvalue and linear time-invariant system transfer function principles, their parallels lying at the heart of the later results. This serves to explain some famous results from linear algebra in a way that is easy to understand from an engineering perspective.

Details

Title
Autocorrelation matrix eigenvalues and the power spectrum
Creator
Messerschmitt, David G., Author
EECS Department, University of California, Publisher
Published
2006-06-27
Full Collection Name
Electrical Engineering & Computer Sciences Technical Reports
Other Identifiers
EECS-2006-90
Type
Text
Format
technical reports
Extent
12 p
Archive
The Engineering Library
Usage Statement
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