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Noise reduction, smoothing and time interval segmentation of noisy signals using an energy optimisation method

Mahmoodi, Sasan and Sharif, Bayan (2006) Noise reduction, smoothing and time interval segmentation of noisy signals using an energy optimisation method IEE Proceedings - Vision, Image and Signal Processing, 153, (2), pp. 101-108.

Record type: Article


Noise reduction and time interval segmentation of a noise-contaminated piecewise continuous signal is considered by the authors as a non-linear optimisation problem. The mathematical framework of this method is presented both in continuous-time and discrete-time domains. The smoothed signal and segmented time intervals of the original noisy signal are calculated as an optimised solution for an energy functional. An algorithm similar to the level set method is developed to find the optimised solution. In this algorithm, the discontinuity points separating consecutive continuous signals are preserved while the noise is reduced. Therefore this method fundamentally exhibits a better performance compared with a traditional low-pass filter suppressing high frequency components, including discontinuity points. The results also demonstrate a better quality in noise reduction in comparison to the median and Gaussian filters.

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Published date: April 2006
Organisations: Southampton Wireless Group


Local EPrints ID: 265863
PURE UUID: ef2096ef-6b18-4b5e-8ed4-af55d15ce085

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Date deposited: 09 Jun 2008 12:43
Last modified: 24 Jul 2017 16:41

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Author: Sasan Mahmoodi
Author: Bayan Sharif

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