کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
405564 | 677676 | 2011 | 7 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
A novel joint-processing adaptive nonlinear equalizer using a modular recurrent neural network for chaotic communication systems
دانلود مقاله + سفارش ترجمه
دانلود مقاله ISI انگلیسی
رایگان برای ایرانیان
کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
هوش مصنوعی
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: A novel joint-processing adaptive nonlinear equalizer using a modular recurrent neural network for chaotic communication systems A novel joint-processing adaptive nonlinear equalizer using a modular recurrent neural network for chaotic communication systems](/preview/png/405564.png)
چکیده انگلیسی
To eliminate nonlinear channel distortion in chaotic communication systems, a novel joint-processing adaptive nonlinear equalizer based on a pipelined recurrent neural network (JPRNN) is proposed, using a modified real-time recurrent learning (RTRL) algorithm. Furthermore, an adaptive amplitude RTRL algorithm is adopted to overcome the deteriorating effect introduced by the nesting process. Computer simulations illustrate that the proposed equalizer outperforms the pipelined recurrent neural network (PRNN) and recurrent neural network (RNN) equalizers.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Neural Networks - Volume 24, Issue 1, January 2011, Pages 12–18
Journal: Neural Networks - Volume 24, Issue 1, January 2011, Pages 12–18
نویسندگان
Haiquan Zhao, Xiangping Zeng, Jiashu Zhang, Yangguang Liu, Xiaomin Wang, Tianrui Li,