Statistical Signal and Array Processing, Underwater Acoustics Signal Processing

Statistical Signal and Array Processing, Underwater Acoustics Signal Processing

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marginal pdf given by the L-term Gaussian mixture fw(t)=XX:#aquot; (- #) (2) l=1 l The objective is to estimate the source directions 61, ..., 6K and the deterministic source waveforms ... includes the Gaussian thermal noise that is present in essentially all electronic systems. ... Of course, the noise samples are not labeled in the incomplete data X that is available, hence the role of the EM algorithm. ... T. Diagonal matrices are defined as ga#39;(n, t) :Gi(x(t)) = diag{ga#39;(1, t), ..., ga#39;(N, t)} (4) L 1 Ga#39; (x(t)) = 2.


Title:Statistical Signal and Array Processing, Underwater Acoustics Signal Processing
Author: ICASSP (23, 1998, Seattle, Wash.)
Publisher: - 1998
ISBN-13:

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