| 基于神经网络模型的谐波检测改进算法 |
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| 引用本文： | 胡晶晶,张鹏,王江晴.基于神经网络模型的谐波检测改进算法[J].广东电脑与电讯,2008(6):62-63. |
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| 作者姓名： | 胡晶晶 张鹏 王江晴 |
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| 作者单位： | 中南民族大学计算机科学学院 湖北武汉430074 |
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| 摘 要： | 通过对基于傅里叶基函数的神经网络模型算法和加窗快速傅里叶变换算法的研究，提出基于神经网络模型的加窗谐波检测改进算法。该改进算法针对原算法中只能检测已知频率谐波及收敛速度慢的缺点，结合最优化理论，通过相关权值调整的方法，实现了算法对任何未知频率的检测和快速收敛。
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| 关 键 词： | 谐波检测 傅里叶函数 窗函数 神经网络 L-M算法 |
Improvment of Harmonic Detecting Algorithm Based on Neural Network |
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| Hu Jingjing,Zhang Peng,Wang Jiangqing.Improvment of Harmonic Detecting Algorithm Based on Neural Network[J].Computer & Telecommunication,2008(6):62-63. |
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| Authors: | Hu Jingjing Zhang Peng Wang Jiangqing |
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| Affiliation: | (College of Computer Science, South-Central University For Nationalities, Wuhan 430074, Hubei) |
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| Abstract: | By studying the algorithms of the neural network model with the foundation of Fourier function and the interpolating windowed FFT,this paper gives the modified algorithm of the neural network model with the foundation of Fourier function.The new algorithm gets the base wave frequency which the primary algorithm can not provide.And by improving on the modulating method of coefficients,the new algorithm also develops the convergence rate. |
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| Keywords: | harmonic detecting Fourier function window function neural network algorithm of L-M |
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