NDLI: Decision based non-linear filtering using interquartile range estimator for Gaussian signals

Content Provider	IEEE Xplore Digital Library
Author	Buch, Kaushal D.
Copyright Year	2014
Description	Author affiliation: Digital Backend Group, Giant Metrewave Radio Telescope (GMRT), TIFR, Khodad, Dist. Pune, India (Buch, Kaushal D.)
Abstract	Decision based non-linear filtering is widely used for the removal of impulsive noise. Various robust statistical estimators of scale are in use for determining the threshold of the filtering process. Real-time filtering requires this estimation to be computationally efficient and realizable within the system constraints. This paper proposes the use of Interquartile range (IQR) for filtering impulsive noise from the signals possessing Gaussian distribution. The efficiency of filtering using IQR has been described through simulation for varying levels of impulsive noise. An iterative threshold for IQR based filtering has been introduced to improve the filtering efficiency. A real-time technique for computing IQR on digital hardware has been introduced. The proposed technique has applications in the areas of passive microwave radiometry, digital communications and radio astronomy.
Starting Page	1
Ending Page	5
File Size	620408
Page Count	5
File Format	PDF
e-ISBN	9781479953646
DOI	10.1109/INDICON.2014.7030658
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-12-11
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Histograms Radio astronomy Noise Estimation Robustness Real-time systems Standards
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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