کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
10370401 | 876084 | 2005 | 21 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
A general approach for mutual information minimization and its application to blind source separation
دانلود مقاله + سفارش ترجمه
دانلود مقاله ISI انگلیسی
رایگان برای ایرانیان
کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
پردازش سیگنال
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: A general approach for mutual information minimization and its application to blind source separation A general approach for mutual information minimization and its application to blind source separation](/preview/png/10370401.png)
چکیده انگلیسی
In this paper, a nonparametric “gradient” of the mutual information is first introduced. It is used for showing that mutual information has no local minima. Using the introduced “gradient”, two general gradient based approaches for minimizing mutual information in a parametric model are then presented. These approaches are quite general, and principally they can be used in any mutual information minimization problem. In blind source separation, these approaches provide powerful tools for separating any complicated (yet separable) mixing model. In this paper, they are used to develop algorithms for separating four separable mixing models: linear instantaneous, linear convolutive, post nonlinear (PNL) and convolutive post nonlinear (CPNL) mixtures.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Signal Processing - Volume 85, Issue 5, May 2005, Pages 975-995
Journal: Signal Processing - Volume 85, Issue 5, May 2005, Pages 975-995
نویسندگان
Massoud Babaie-Zadeh, Christian Jutten,