DocumentCode
1881594
Title
Estimating the number of sinusoids in non-Gaussian noise using cumulants
Author
Rao, Satyanarayan S. ; Vaidyanathan, Chandra
Author_Institution
Dept. of Electr. Eng., Villanova Univ., PA, USA
fYear
1991
fDate
14-17 Apr 1991
Firstpage
3469
Abstract
The problem of determining the dominant singular values of a cumulant matrix is considered. A criterion for rank determination which is quite general and can be used for any matrix is presented. The problem addressed is important due to the surge of new techniques in the cumulant domain, most of which require knowledge of the rank of the matrix. The criterion performs reasonably well under high and low signal-to-noise ratio conditions
Keywords
eigenvalues and eigenfunctions; matrix algebra; noise; spectral analysis; cumulant matrix; cumulants; nonGaussian noise; number of sinusoids; rank determination; singular value decomposition; spectral estimation; Additive noise; Autocorrelation; Degradation; Equations; Estimation error; Gaussian noise; Information analysis; Random variables; Signal resolution; Singular value decomposition;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, 1991. ICASSP-91., 1991 International Conference on
Conference_Location
Toronto, Ont.
ISSN
1520-6149
Print_ISBN
0-7803-0003-3
Type
conf
DOI
10.1109/ICASSP.1991.150201
Filename
150201
Link To Document