Filter-Matlab-GUI

基于simulink的单相不控整流桥电容负载的仿真模型(Single-phase controlled rectifier bridge capacitive load of the simulation model)

Simple code for Spectral analysis of speech signal.

rm码编码和解码的实现，解码采用伴随式解码(rm to achieve coding and decoding, decoding with decoding using)

基于matlab平台的分水岭算法图像分割，分割结果准确，运行速度快(Watershed algorithm based on matlab image segmentation, the segmentation results are accurate and fast)

说明：  瑞利随机数的生成，通过两个同方差的正态分布而求得，并求出其PDF和CDF(Rayleigh random numbers generated by two normal distribution with variance that obtained and solved its PDF and CDF)

Matlab code for record tool for speech recognition

为实现合成孔径雷达（SAR）图像分类算法的测试与评估，将VC/Matlab 混合编程技术应用到SAR 图像分类平台开发中，分析与 比较了4 种VC/Matlab 混合编程方法及各自优缺点，并着重研究了基于组件对象模型（COM）的VC/Matlab 混合编程方法。使用Matlab COM 编译器创建了SAR 图像分类算法组件，在VC 中调用其导出的接口函数。在此基础上，完成了SAR 图像分类平台的实例开发且 可脱离Matlab 环境运行。实验结果表明，该方法较好地发挥了VC 与Matlab 各自的优势，提高了SAR 图像分类平台开发的效率。(In order to test synthetic aperture radar （SAR） image classification algorithm，VC/Matlab mixed programming technology was used in SAR image classification platform development. Four VC/Matlab mixed programming methods were introduced and analyzed. Comparing with other three methods，the method based on component object model （COM） was studied particularly. SAR image classification algorithm component was created by Matlab COM complier，and its interface function could be invocated with VC. Using this method，a SAR image classification platform was realized. The platform could run without Matlab. The experimental result shows a good combination of VC and Matlab. So，developing efficiency could be enhanced a lot.)

一种基于链式结构的无线传感器网络路由协议(a wireless sensor network protocol based on improved algorithm PEGASIS)

TE化学过程的原始数据，对于MATlaber来说会是珍贵的数据啊 (TE chemical processes raw data for MATlaber the precious data.)

运用一种基于相位信息的2FSK与MSK的调制识别方法,来实现MSK与普通的2FSK的识别。通过计算机仿真表明,在SNRE10dB的条件下,该方法识别率达到了100 。 (Based 2FSK use and MSK modulation recognition phase information to achieve a common 2FSK MSK and identification. Through computer simulations show that, under SNRE10dB conditions, the recognition rate reached 100 .)