HAIMMING

自己编的，基于自适应噪声对消的语音增强新算法(Own, based on adaptive noise cancellation of the new algorithm for speech enhancement)

本程序根据训练好的网络文件ANN.mat预测新的数据文件，得到均方误差，并画出预测数据和原数据的对比图。此程序运用到了很多Matlab编程中常用到的表达方式，还有一些神经网络编程的基本概念的表达，如归一化的表达(This procedure according to the trained network file prediction ANN.mat new data file, the mean square error, and painted the original data and prediction data comparison of Fig. This procedure applied to a lot of Matlab programming to the expression commonly used, and some neural network programming the expression of the basic concepts, such as the normalized expression)

说明：  此为matlab的GUI绘图功能示例(This is the GUI graphics matlab example)

33节点测试：计算联络线转供方案；负荷点损失风险计算；过电流风险计算(33 node test: contact wire transfer for computing program load point risk of loss calculation overcurrent calculated risk)

说明：  AM调制，可自行输入频率，功能完善，实用性好(GUI realize AM modulation，To input frequency，Perfect function, practicability。 )

说明：  用MatlAB编程实现移动通信系统中的GMSK调制解调(Programming with MatlAB the GMSK mobile communication system modem)

说明：  这是MATLAB教程中的经典之作，对重要的知识点做了归纳和汇总，讲解也很详细(MATLAB tutorial is classic, the knowledge of important points are summarized and the summary made to explain the very detailed)

This Toolset comprises of the following files: 1) RunTutorial.m Runs and publish in html format the Tutorial.m file. 2) Tutorial.m A quick reference tutorial for the DE_TCR algorithm. 3) DE_TCRparam.m Generates the required parameters to run the DE_TCR algorithm. 4) DE_TCR.m Runs the optimization algorithm. This code implements a version of the DE_TCR algorithm described in: G. Reynoso J. Sanchis X. Blasco Juan M. Herrero. Hybrid DE Algorithm With Adaptive Crossover Operator For Solving Real-World Numerical Optimization Problems. In IEEE Congress on Evolutionary Computation. CEC 2011. (ISBN 978-1-4244-7833-0). New Orleans (USA). June 2011. 5) LocalSearch.m Runs the Local search routine. 6) CostFuntion.m The cost function to optimize

agilent powersupply contorl

说明：  该函数提供了一种时变维纳滤波器的实现。这种维纳滤波器可以处理非平稳信号。 在给定噪声信号和参考信号的情况下，Wiener滤波器可以应用于噪声信号以估计与参考信号相干的贡献。(This function provides an implementation of a time-varying Wiener filter. This kind of Wiener filter can deal with non-stationary signals. Given a noisy signal and a reference signal, the Wiener filter can be applied to the noisy signal for estimating the contribution coherent with the reference signal.)