matlab7.6(R2008a)

1．产生一个连续信号，包含低频，中频，高频分量，对其进行采样，进行频谱分析，分别设计三种高通， 低通，带通滤波器对信号进行滤波处理，观察滤波后信号的频谱。 2.采集一段含有噪音的语音信号（可以录制含有噪音的信号，或者录制语音后再加进噪音信号），对其进行 采样和频谱分析，根据分析结果设计出一合适的滤波器滤除噪音信号(1. Produce a continuous signal, including low-frequency, medium frequency, high-frequency components, its sampling, spectral analysis, are designed for three high-pass, low pass, band-pass filter the signal filtering treatment to observe the signal spectrum after filtering. 2. Acquisition section of the speech signal contains noise (can record a signal containing noise, or voice recording, additional noise after the signal), its sampling and spectral analysis, based on an analysis of the results to design a suitable filter to filter out one noise signal)

一些高阶统计量子程序，可以应用于心愿定位(Some higher-order statistics quantum procedure can be applied to wish positioning)

matlab使用教程，ppt转pdf版的，需要的可以参考一下(Using matlab tutorial, turn PDF version of the PPT, need to consult)

Performance Investigation of Isolated Wind_Diesel

16PSK调制解调程序，经过仿真，没有问题(16PSK modulation and demodulation process, through simulation, there is no problem)

说明：  Robot indexeur - Maroc El Mehdi El Oufir

Matlab code for 30 bus system to determine ATC

刘金琨《滑模变结构控制MATLAB仿真（第2版）》书中的仿真程序，原书第二版已取消了附带光盘(Liu Jinkun "Sliding Mode Control MATLAB (2nd Edition)" in the book of the simulation program, the second edition of the original book has been canceled with CD-ROM)

用matalab编译的hough变换法求图像的倾斜角，很好的程序哦(Compiled using matalab slope Angle of the hough transform method of image, a good program)

An important aspect of an ANN model is whether it needs guidance in learning or not. Based on the way they learn, all artificial neural networks can be divided into two learning categories - supervised and unsupervised. • In supervised learning, a desired output result for each input vector is required when the network is trained. An ANN of the supervised learning type, such as the multi-layer perceptron, uses the target result to guide the formation of the neural parameters. It is thus possible to make the neural network learn the behavior of the process under study. • In unsupervised learning, the training of the network is entirely data-driven and no target results for the input data vectors are provided. An ANN of the unsupervised learning type, such as the self-organizing map, can be used for clustering the input data and find features inherent to the problem.