DocumentCode
1342087
Title
Detection of the number of signals in the presence of white noise in decentralized processing
Author
Bhandary, Madhusudan
Author_Institution
Dept. of Stat., North Dakota State Univ., Fargo, ND, USA
Volume
46
Issue
3
fYear
1998
fDate
3/1/1998 12:00:00 AM
Firstpage
800
Lastpage
803
Abstract
The problem of estimating the number of signals under a white noise model is solved when the data are received from many different places that are widely apart by using modified information criterion proposed by the author. This criterion involves the eigenvalues of the sample canonical correlation matrix. Some simulation results are also presented
Keywords
correlation methods; covariance matrices; eigenvalues and eigenfunctions; information theory; parameter estimation; signal detection; signal sampling; white noise; covariance matrix; decentralized processing; eigenvalues; modified information criterion; sample canonical correlation matrix; signal detection; signal estimation; signal processing; simulation results; white noise model; Atmospheric modeling; Chirp; Covariance matrix; Eigenvalues and eigenfunctions; Frequency estimation; Signal processing; Signal processing algorithms; Speech processing; Vectors; White noise;
fLanguage
English
Journal_Title
Signal Processing, IEEE Transactions on
Publisher
ieee
ISSN
1053-587X
Type
jour
DOI
10.1109/78.661351
Filename
661351
Link To Document