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Signal segmentation and denoising algorithm based on energy optimisation

Mahmoodi, Sasan and Sharif, Bayan (2005) Signal segmentation and denoising algorithm based on energy optimisation Signal Processing, 85, (9), pp. 1845-1851.

Record type: Article

Abstract

A nonlinear functional is considered in this short communication for time interval segmentation and noise reduction of signals. An efficient algorithm that exploits the signal geometrical properties is proposed to optimise the nonlinear functional for signal smoothing. Discontinuities separating consecutive time intervals of the original signal are initially detected by measuring the curvature and arc length of the smoothed signal. The nonlinear functional is then optimised for each time interval to achieve noise reduction of the original noisy signal. This algorithm exhibits robustness for signals characterised by very low signal to noise ratios.

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More information

Published date: 10 December 2005
Keywords: Nonlinear energy optimisation, Signal segmentation, Signal smoothing
Organisations: Southampton Wireless Group

Identifiers

Local EPrints ID: 265860
URI: http://eprints.soton.ac.uk/id/eprint/265860
ISSN: 0165-1684
PURE UUID: bacf08b8-c4ab-4d90-8964-812a4638f1ad

Catalogue record

Date deposited: 09 Jun 2008 12:17
Last modified: 18 Jul 2017 07:22

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Contributors

Author: Sasan Mahmoodi
Author: Bayan Sharif

University divisions

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