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Ocean Acoustic Signal Processing – A Bayesian Approach
By: Dr. James V. Candy In collaboration with the Department of Physics, University of New Orleans (UNO) Abstract: The application of Bayesian methods to complex ocean acoustic processing problems, especially in shallow water, has evolved from well-known probability distributions like Gaussian leading to model- based, Kalman filtering solutions ...
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