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应用于地震勘探来提高信号的分辨率。包含各种处理方法(Used in seismic exploration to improve the signal resolution. Includes a variety of treatment methods)

语音信息处理的好帮手，希望大家支持，非常感谢各位大侠(Voice messaging is a good helper, hope you will support, thank you heroes)

一个WCDMA接收机的matlab程序，也是从网上下载的，分享。(A WCDMA receiver matlab procedures, is also downloaded from the Internet to share.)

用Simulink中NCO模块产生正弦信号的程序，自己写的，采样率180MHz，正弦频率70MHz，可以直接运行。(Using Simulink module generates a sinusoidal signal of NCO program, sample rate 180MHz, sinusoidal frequency 70MHz, can be directly run.)

这是一个自适应的遗传算法实例， 是在遗传算法的基础上改进的， 例子是和matlab工具箱与应用书上的相似(This is an example of adaptive genetic algorithm is based on the genetic algorithm improved, for example, is matlab toolbox and application of similar books)

说明：  自适应中值滤波算法，可以用于图像去噪，比传统的中值滤波效果更好，运行时间更短(Adaptive median filter algorithm can be used for image denoising, than the traditional median filter is better, shorter running time)

基于奇异值分解的人脸识别方法 梁毅雄 龚卫国 潘英俊 李伟红 刘嘉敏 张红梅 提出了一种将傅里叶变换和奇异值分解相结合的人脸自动识别方法.首先对人脸图像进行傅里叶变换,得到其具有位移不变特性的振幅谱表征.其次,从所有训练图像样本的振幅谱表征中给定标准脸并对其进行奇异值分解,求出标准特征矩阵,再将人脸的振幅谱表征投影到标准特征矩阵后得到的投影系数作为该人脸的模式特征.然后,对经典的最近邻分类器算法进行了改进,并采用模式特征之间的欧式距离作为相似性度量,从而完成对未知人脸的识别.采用ORL (Olivetti Research Laboratory)人脸库对本文提出的人脸识别方法进行验证,获得了100.00 的识别率.实验结果表明,本方法优于现有的基于奇异值分解的人脸识别方法,且对表情、姿态变换等具有一定的鲁棒性. (Face recognition based on singular value decomposition method Deliberate simultaneously Gong Weiguo Li Wei Hung Stephen Lau, Hong-Mei Zhang Ying-Jun Pan Paper, a Fourier transform and singular value decomposition of the combination of automatic face recognition. First of all, the face image by Fourier transformation, it has the same characteristics of the displacement amplitude spectra. Secondly, all training The amplitude spectrum of the sample images given in standard face representation and its singular value decomposition, find the standard characteristic matrix, then the amplitude of spectral characterization of human faces projected onto the standard characteristic matrix of projection coefficients obtained as the face of the model features . Then, the classical nearest neighbor classifier is improved, and the use of Euclidean distance between pattern features as the similarity measure, thus completing the identification of unknown human faces. using ORL (Olivetti Research La)

ofdm三个信道的matlab仿真代码，功能强大，能显示各个部分功能，有误码率(three-channel ofdm matlab simulation code, powerful, and can display various parts function, bit error rate)

simulation of voice signal Equalizer

resistive and inductive load. simulation also demonstrate the role of free wheeling diode. Single phase pulse generator was developed to generate the pulses at required firing angle.