Title :
On rates of convergence of efficient detection criteria in signal processing with white noise
Author :
Bai, Zhi-Dong ; Krishnaiah, Paruchuri R. ; Zhao, Lin-Cheng
Author_Institution :
Dept. of Math. & Stat., Pittsburgh Univ., PA, USA
fDate :
3/1/1989 12:00:00 AM
Abstract :
L.C. Zhao et al. (1986) proposed certain information-theoretic criteria for detection of the number of signals under an additive model with white noise when the noise variance is known or unknown. It was shown that these criteria are strongly consistent even when the underlying distribution is not necessarily Gaussian. Upper bounds on the probabilities of error detection are obtained here
Keywords :
convergence; error detection; signal detection; signal processing; white noise; additive model; convergence rates; error detection probability; information-theoretic criteria; noise variance; signal detection; signal processing; upper bounds; white noise; Additive white noise; Convergence; Covariance matrix; Eigenvalues and eigenfunctions; Helium; Mathematics; Signal processing; Statistics; Upper bound; White noise;
Journal_Title :
Information Theory, IEEE Transactions on
