کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
10369038 | 875235 | 2005 | 11 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Blind Separation of rotating machine signals using Penalized Mutual Information criterion and Minimal Distortion Principle
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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: Blind Separation of rotating machine signals using Penalized Mutual Information criterion and Minimal Distortion Principle Blind Separation of rotating machine signals using Penalized Mutual Information criterion and Minimal Distortion Principle](/preview/png/10369038.png)
چکیده انگلیسی
The Blind Separation problem of convolutive mixtures is addressed in this paper. We have developed a new algorithm based on a penalized mutual information criterion recently introduced in [El Rhabi et al., A penalized mutual information criterion for blind separation of convolutive mixtures, Signal Processing 84 (2004) 1979-1984] and which also allows to choose an optimal separator among an infinite number of valid separators that can extract the source signals in a certain sense according to the Minimal Distortion Principle. So, the minimisation of this criterion is easily done using a direct gradient approach without constraint on the displacements. Thus, our approach allows to restore directly the contribution of the sources to the sensor signals without post-processing as it is usually done. Finally, we illustrate the performances of our algorithm through simulations and on real rotating machine vibration signals.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Mechanical Systems and Signal Processing - Volume 19, Issue 6, November 2005, Pages 1282-1292
Journal: Mechanical Systems and Signal Processing - Volume 19, Issue 6, November 2005, Pages 1282-1292
نویسندگان
Mohammed EL Rhabi, Hassan Fenniri, Guillaume Gelle, Georges Delaunay,