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Proceedings Paper

Step Signal Detection Via Clustering Analysis With Gaussian Contamination
Author(s): Alireza Moghaddamjoo
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Paper Abstract

An algorithm for filtering noisy step-like signals is proposed. This algorithm is based on the assumption of Gaussian contamination. In this procedure data within a moving window is divided into two almost equal clusters and a hypothesis tests (F-test) for differences in the means between two such clusters. Histogram analysis and/or our a priori knowledge about the number of discrete amplitudes in the ideal noise free signal provide information that is used to filter the signal further and produce a clean signal with the desired number of discrete amplitudes (levels). As an illustration the method is tested by simulation.

Paper Details

Date Published: 1 January 1987
PDF: 8 pages
Proc. SPIE 0858, Signal Acquisition and Processing, (1 January 1987); doi: 10.1117/12.968274
Show Author Affiliations
Alireza Moghaddamjoo, University of Wisconsin (United States)


Published in SPIE Proceedings Vol. 0858:
Signal Acquisition and Processing
Russell J. Niederjohn, Editor(s)

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