NDLI: Denoising multisensor data

Content Provider	IEEE Xplore Digital Library
Author	Rao, A.M. Jones, D.L.
Copyright Year	2000
Description	Author affiliation: Dept. of Electr. & Comput. Eng., Illinois Univ., Urbana, IL, USA (Rao, A.M.)
Abstract	Multisensor array processing of noisy measurements has received considerable attention in many areas of signal processing. The optimal processing techniques developed so far usually assume the signal and noise processes are at least wide-sense-stationary, yet a need exists for efficient, effective methods for processing nonstationary signals. While wavelets have proven to be useful tools in dealing with certain nonstationary signals, the way in which wavelets are to be used in the multisensor setting has only recently been considered. In this work we show how multisensor denoising can be carried out in perturbed, narrowband arrays even in the absence of the signal source's direction of arrival. We show that our proposed blind estimator can be implemented efficiently and robustly employing only wavelet and discrete Fourier transforms while entailing only a small loss in performance.
Starting Page	375
Ending Page	379
File Size	535258
Page Count	5
File Format	PDF
ISBN	0780363396
DOI	10.1109/SAM.2000.878033
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2000-03-17
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Noise reduction Signal processing Array signal processing Estimation Sensor arrays Signal processing algorithms Narrowband Robustness Discrete wavelet transforms Discrete Fourier transforms
Content Type	Text
Resource Type	Article

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