Signal Detection in Generalized Gaussian Noise by Nonlinear Wavelet Denoising

Madadi, Z and Anand, GV and Premkumar, AB (2013) Signal Detection in Generalized Gaussian Noise by Nonlinear Wavelet Denoising. In: IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS, 60 (11). pp. 2973-2986.

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Abstract

In this paper, a nonlinear suboptimal detector whose performance in heavy-tailed noise is significantly better than that of the matched filter is proposed. The detector consists of a nonlinear wavelet denoising filter to enhance the signal-to-noise ratio, followed by a replica correlator. Performance of the detector is investigated through an asymptotic theoretical analysis as well as Monte Carlo simulations. The proposed detector offers the following advantages over the optimal (in the Neyman-Pearson sense) detector: it is easier to implement, and it is more robust with respect to error in modeling the probability distribution of noise.

Item Type:	Journal Article
Publication:	IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS
Publisher:	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Additional Information:	Copyright for thei article belongs to EEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 445 HOES LANE, PISCATAWAY, NJ 08855-4141 USA
Keywords:	Generalized Gaussian noise; median pyramid transform; non-Gaussian noise; nonlinear wavelet denoising; signal detection
Department/Centre:	Division of Electrical Sciences > Electrical Communication Engineering
Date Deposited:	12 Dec 2013 10:17
Last Modified:	12 Dec 2013 10:17
URI:	http://eprints.iisc.ac.in/id/eprint/47884

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