عنوان المقالة:فصل أعمى للمخاليط غير المحددة جيدًا مع الضوضاء البيضاء والوردية المضافة Blind separation of underdetermined mixtures with additive white and pink noises
أ.د. أحمد سلامة | Prof. Dr. Ahmed Salama | 10534
نوع النشر
مقال علمي
المؤلفون بالعربي
أسامة الشبراوى - أحمد سلامة- أبو العلا
المؤلفون بالإنجليزي
Ossama S. Alshabrawy, Aboul Ella Hassanien, Wael Awad, A. A. Salama
الملخص الانجليزي
This paper presents an approach for underdetermined blind source separation in the case of additive Gaussian white noise and pink noise. Likewise, the proposed approach is applicable in the case of separating I + 3 sources from I mixtures with additive two kinds of noises. This situation is more challenging and suitable to practical real world problems. Moreover, unlike to some conventional approaches, the sparsity conditions are not imposed. Firstly, the mixing matrix is estimated based on an algorithm that combines short time Fourier transform and rough-fuzzy clustering. Then, the mixed signals are normalized and the source signals are recovered using modified Gradient descent Local Hierarchical Alternating Least Squares Algorithm exploiting the mixing matrix obtained from the previous step as an input and initialized by multiplicative algorithm for matrix factorization based on alpha divergence. The experiments and simulation results show that the proposed approach can separate I + 3 source signals from I mixed signals, and it has superior evaluation performance compared to some conventional approaches.
تاريخ النشر
13/10/2014
الناشر
IEEE
رقم المجلد
رقم العدد
رابط DOI
https://ieeexplore.ieee.org/document/6920450
الصفحات
305-311
رابط الملف
تحميل (140 مرات التحميل)
رابط خارجي
https://ieeexplore.ieee.org/document/6920450
الكلمات المفتاحية
Underdetermined Blind Source Separation , Rough Fuzzy clustering , Short Time Fourier transform , Hierarchical Alternating Least Squares
رجوع