ofdm_Powerline

THIS IS WRITTEN FOR CALCULATION OF OPTIMUM SHADING COEFFICIENT OF HYDROPHONES OF TROTT NFCA . AND THEN EXCITING THE SAME NFCA WITH A SIGNAL AND VISUALIZATION OF THE RESPONSE OF THE NFCA. SOME SUGGESTIONS ARE REQUIRED FOR MODIFICATION OF THE CODE.

这是一篇关于无迹卡尔曼的程序，可以用于学习。(Unscented Kalman)

说明：  实现IIR的算法，包括数据分析报告，Matlab实现巴特沃思和切比雪夫。(To achieve IIR algorithms, including data analysis, Matlab realization of Butterworth and Chebyshev.)

差速轮式机器人轨迹跟踪，轨迹包括直线，圆，八字形。算法基于李雅普诺夫稳定判定。(Differential wheeled robot trajectory tracking, track, including lines, circles, figure eight. Algorithm based on Lyapunov stability determination.)

初学matlab课程的作业，本程序是在Matlab R2009b环境下编写的一个计算器的小程序，包括加法，减法，lTDltr计算，oQyIGPP计算，是Matlab的GUI编程的很好例子。 (Jobs matlab beginner courses, the program is written in Matlab R2009b environment of a small calculator program, including addition, subtraction,lTDltr computing, oQyIGPP calculations Matlab GUI programming is a good example. )

对具有随机噪声的二阶系统的模型辨识，进行标幺化以后系统的参考模型差分方程为 (7.90) 式中， 为随机噪声。由于神经网络的输出最大为1，所以，被辨识的系统应先标幺化，这里标幺化系数为5。利用图7.5正向建模(并联辨识)结构，神经网络选用3-9-9-1型，即输入层i，隐层j包括2级，输出层k的节点个数分别为3、9、9、1个； (Model identification of two order systems with stochastic noise)

基于模糊神经技术的智能控制过程,模糊神经控制器（NFC）用于复杂系统的智能控制(Based on Fuzzy Neural Intelligent control process, fuzzy neural controller (NFC) for intelligent control of complex systems)

In numerical linear algebra, the Gauss–Seidel method, also known as the Liebmann method or the method of successive displacement, is an iterative method used to solve a linear system of equations. It is named after the German mathematicians Carl Friedrich Gauss and Philipp Ludwig von Seidel, and is similar to the Jacobi method. Though it can be applied to any matrix with non-zero elements on the diagonals, convergence is guaranteed if the matrix is either diagonally dominant, or symmetric and positive definite.

两篇关于语音信号处理的文章，对于语音初学者来说相当实用，希望对大家能有所帮助(Two articles about the speech signal processing for voice beginners very useful, I hope that we can help)

说明：  是最大信息系数的一种改进算法，具有更高的统计势，计算复杂度更小。(Is an improved algorithm for maximum information coefficient. It has higher statistical potential and less computational complexity.)