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), 1845-1851.
- Published Version
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.
|Keywords:||Nonlinear energy optimisation; Signal segmentation; Signal smoothing|
|Divisions:||Faculty of Physical and Applied Science > Electronics and Computer Science > Comms, Signal Processing & Control
|Date Deposited:||09 Jun 2008 12:17|
|Last Modified:||02 Mar 2012 13:21|
|Contributors:||Mahmoodi, Sasan (Author)
Sharif, Bayan (Author)
|Date:||10 December 2005|
|Further Information:||Google Scholar|
|ISI Citation Count:||7|
|RDF:||RDF+N-Triples, RDF+N3, RDF+XML, Browse.|
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