An Estimation Method of Probability Distribution for a Specific Stochastic Signal Contaminated by an Additional Noise Based on the Arbitrarily Quantized Level Observation

Mitsuo OHTA  Akira IKUTA  

IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences   Vol.E75-A   No.9   pp.1046-1051
Publication Date: 1992/09/25
Online ISSN: 
Print ISSN: 0916-8508
Type of Manuscript: Special Section PAPER (Special Section on Information Theory and Its Applications)
estimation of probability function,  quantized level observation,  stochastic signal processing,  noise removal,  acoustic environment,  

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It often occurs in the acoustic environment that a specific signal is contaminated by the additional noise of non-Gaussian distribution type. In order to extract exactly the various statistical information of only specific signal from the observed noisy data, a stochastic signal processing by use of digital computer is essential. In this study, a stochastic method for estimating the probability function of the specific signal embedded in the additional noise is first theoretically proposed in a suitable form for the quantized level observation. Then, the effectiveness of the proposed method is experimentally confirmed by applying it to the observed data in the acoustic environment.