کد مقاله کد نشریه سال انتشار مقاله انگلیسی ترجمه فارسی نسخه تمام متن
4977396 1367710 2018 9 صفحه PDF سفارش دهید دانلود کنید
عنوان انگلیسی مقاله
Momentum fractional LMS for power signal parameter estimation
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر پردازش سیگنال
پیش نمایش صفحه اول مقاله
Momentum fractional LMS for power signal parameter estimation
چکیده انگلیسی


- A new fractional calculus based LMS algorithm with fast convergence is proposed.
- A new momentum term is included in fraction LMS algorithm for fast convergence.
- Parameter estimation of a power signal using momentum fractional LMS algorithm.
- Superiority of the proposed algorithm over LMS, momentum LMS and fractional LMS.

Fractional adaptive algorithms have given rise to new dimensions in parameter estimation of control and signal processing systems. In this paper, we present novel fractional calculus based LMS algorithm with fast convergence properties and potential ability to avoid being trapped into local minima. We test our proposed algorithm for parameter estimation of power signals and compare it with other state-of-the-art fractional and standard LMS algorithms under different noisy conditions. Our proposed algorithm outperforms other LMS algorithms in terms of convergence rate and accuracy.

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ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Signal Processing - Volume 142, January 2018, Pages 441-449
نویسندگان
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