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Estimating the Probability Density Function of a Nonstationary Non-Gaussian Noise

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2 Author(s)
Mukherjee, A. ; Dept. of Electr. Eng., Dr. B. C. Roy Eng. Coll., Durgapur, India ; Sengupta, A.

The problem of estimating the probability density function (pdf) of a nonstationary non-Gaussian noise is addressed. The non-Gaussian noise is modeled using Gaussian mixture pdfs, and an algorithm is proposed to estimate the parameters by maximizing the log-likelihood function. Three simulation results illustrate the validity and utility of the proposed algorithm for stationary or nonstationary, Gaussian or non-Gaussian, zero mean or nonzero mean, and unimodal or multimodal distributed noise.

Published in:

Industrial Electronics, IEEE Transactions on  (Volume:57 ,  Issue: 4 )

Date of Publication:

April 2010

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