Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
563423 | Signal Processing | 2006 | 9 Pages |
Abstract
A nonlinear functional is considered in this letter for segmentation and noise removal of piecewise continuous signals containing binary information contaminated with Gaussian noise. A discontinuity is defined as points in time scale that separates two signal segments with different amplitude spectra. Segmentation and noise removal of a piecewise continuous signal are obtained by deriving equations minimising the nonlinear functional. An algorithm based on the level set method is employed to implement the solutions minimising the functional. The proposed method is robust in noisy signals and can avoid local minima.
Related Topics
Physical Sciences and Engineering
Computer Science
Signal Processing
Authors
Sasan Mahmoodi, Bayan S. Sharif,