DocumentCode
1275945
Title
Toeplitz determinants and positive semidefiniteness
Author
Makhoul, John
Author_Institution
Bolt Beranek & Newman Inc., Cambridge, MA, USA
Volume
39
Issue
3
fYear
1991
fDate
3/1/1991 12:00:00 AM
Firstpage
743
Lastpage
746
Abstract
The role that the determinants of real, symmetric, Toeplitz matrices play in testing for their positive semidefiniteness is discussed. It is shown that the leading principal minor test is not sufficient in general to test for the positive semidifiniteness of Toepliz matrices, except in certain cases. Several properties of Toeplitz determinants are derived, and the conditions under which the leading principal minor test is indeed sufficient are shown. Because of the special structure of Toeplitz matrices, the author is able to derive a very simple and general test for positive semidefiniteness which does not require the computation of all principal mirrors
Keywords
determinants; matrix algebra; signal processing; Toeplitz determinants; Toeplitz matrices; leading principal minor test; positive semidefiniteness; signal processing; Biomedical optical imaging; Eigenvalues and eigenfunctions; Frequency; Image sequence analysis; Jacobian matrices; Motion analysis; Speech processing; Sufficient conditions; Symmetric matrices; Testing;
fLanguage
English
Journal_Title
Signal Processing, IEEE Transactions on
Publisher
ieee
ISSN
1053-587X
Type
jour
DOI
10.1109/78.80862
Filename
80862
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