کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
563423 | 875493 | 2006 | 9 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
A nonlinear variational method for signal segmentation and reconstruction using level set algorithm
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
پردازش سیگنال
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: A nonlinear variational method for signal segmentation and reconstruction using level set algorithm A nonlinear variational method for signal segmentation and reconstruction using level set algorithm](/preview/png/563423.png)
چکیده انگلیسی
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.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Signal Processing - Volume 86, Issue 11, November 2006, Pages 3496–3504
Journal: Signal Processing - Volume 86, Issue 11, November 2006, Pages 3496–3504
نویسندگان
Sasan Mahmoodi, Bayan S. Sharif,