کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6878872 1443105 2018 5 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A modified non-negative LMS algorithm for online system identification
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر شبکه های کامپیوتری و ارتباطات
پیش نمایش صفحه اول مقاله
A modified non-negative LMS algorithm for online system identification
چکیده انگلیسی
Adaptive filters are useful solutions for system identification problem where an optimization problem is used to formulated the estimation of the unknown model coefficients. The nonnegativity constraint is one of the most frequently used constraint which can be imposed to avoid physically unreasonable solutions and to comply with physical characteristics. In this letter, we propose a new variant of non-negative least mean square (NNLMS) that has a less mean square error (MSE) value and faster convergence rate. We provide both mean weight behavior and transient excess mean-square error analysis for proposed algorithm. Simulation results validate the theoretical analysis and show the effectiveness of our proposed algorithm.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: AEU - International Journal of Electronics and Communications - Volume 95, October 2018, Pages 42-46
نویسندگان
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