windfarm

合成地震记录，MATALB程序，包括合成记录，求反子波，反滤波，求反射系数(Synthetic seismograms, MATALB procedures, including synthetic records, seeking anti-sub-wave, anti filter, find the reflection coefficient)

Simon haykin《自适应滤波器原理》的书中例子的matlab代码(Simon haykin " Adaptive Filter Theory," the book example matlab code)

MATLAB简单约简算法，可以使用可以使用(Reduction Algorithm)

说明：  这是一个用matlab读取txt（特定格式）文件并读取文件，画出figure，自动保存和关闭figure。程序运用了深度搜索递归算法。（因为大家没有input的txt文件，所以阅读程序领会思想和方法即可）(This is a use matlab to read txt (a specific format) file and read documents, painted figure, on and off automatically to preserve figure. Procedures for the use of recursive depth search algorithm. (Because there are no input of the txt file, so reader can understand the ideas and methods))

omnet++4.0实现的WSN中Leach算法，可以运行(Leach algorithm in WSN omnet++ 4.0 to achieve, you can run)

qpsk_berest

仿真图是速度、距离、幅度三维图像，能量熵的计算，Gabor小波变换与PCA的人脸识别代码。( FIG simulation speed, distance, amplitude three-dimensional image, Energy entropy calculation, Gabor wavelet transform and PCA face recognition code.)

matlab 关于GUI学习的资料，非常有使用价值(matlab on the GUI to learn the information, very value)

语音识别是近年来发展非常迅速的一项计算机智能技术，广泛应用在语音控制、身份识别等多个领域。本次项目主要研究语音识别的预处理过程和特征参数的提取环节。通过对原始语音信号进行预加重和分帧、加窗，滤除低频干扰，提升对语音识别有用的部分，消除了部分噪音和失真。预处理之后进行信号的特征提取，主要选取了短时平均过零率和MFCC两个特征参数，应用matlab软件绘制波形图并提取特征参数矩阵，为之后的语音信号的识别打下了基础。(Speech recognition is a computer intelligent technology which has developed rapidly in recent years. It is widely used in speech control, identity recognition and other fields. This project mainly studies the pretreatment of speech recognition and the extraction of feature parameters. Through pre-emphasis, framing and windowing of the original speech signal, the low frequency interference is filtered out, the useful part of speech recognition is enhanced, and some noise and distortion are eliminated. After pretreatment, feature extraction of signal is carried out. Two feature parameters, short-term average zero-crossing rate and MFCC, are selected. Waveform diagram is drawn by MATLAB software and feature parameter matrix is extracted, which lays a foundation for speech signal recognition.)

说明：  用matlab实现SVM，并与BP神经网络进行对比(Implement SVM, with matlab and compare it with BP neural network)