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
fDate :
3/1/1998 12:00:00 AM
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;
Journal_Title :
Signal Processing, IEEE Transactions on
