md_sp_code_archive

说明：  利用matlab编程语言，对合成孔径雷达的range-migrationg-agrithm算法进行了仿真。(Using matlab programming language for synthetic aperture radar range-migrationg-agrithm algorithm simulation.)

MATLAB® SimulinkInstallation Guide Release 2012a(MATLAB® & Simulink® Installation Guide Release 2012a)

说明：  matlab编程(matlab programming)

该段程序包括跳时超宽带信号的产生及其频谱特性(The section of program, including UWB signal generation and spectrum)

延迟加载的，转发别人的，感觉不错，适合初学者使用的，可以了解下一部加载(Asynchronize of datagrid it fit newer)

基于MATLAB 的语音信号频谱分析与去噪研究 1、通过Matlab读入语音信号，进行频域分析 2、绘制语音信号频谱； 3、设计滤波器并进行滤波； 4、加噪，对比语音信号波形和频谱(Research on speech signal spectrum analysis and denoising based on MATLAB 1, read the voice signal through Matlab and analyze it in frequency domain. 2, draw the frequency spectrum of speech signal; 3. The filter is designed and filtered. 4. Add noise and compare the waveform and spectrum of speech signal)

使用pca和svm的方法对人脸进行识别和检测，最终达到人脸识别的功能(Face recognition and detection using PCA and SVM methods, and finally achieve the function of face recognition)

实验内容 信号与系统试验报告 自己的作业 1.设有两个信号： 要求x(t)和h(t)采样形成离散序列， 参数选择如下： 采样率Δ=4ms， 频率f=30Hz， a=2f2ln(M), M=2.5 在MATLAB下实现连续信号离散化， 并绘制出离散形式的信号波形。 (Experimental signal and system test the contents of the report of one)

修正格拉姆-施密特正交化的matlab源程序(Modified Gram- Schmidt orthogonalization matlab source)

The economic load dispatch plays an important role in the operation of power system, and several models by using different techniques have been used to solve these problems. Several traditional approaches, like lambda-iteration and gradient method are utilized to find out the optimal solution of non-linear problem. More recently, the soft computing techniques have received more attention and were used in a number of successful and practical applications. The purpose of this work is to find out the advantages of application of the evolutionary computing technique and Particle Swarm Optimization (PSO) in particular to the economic load dispatch problem. Here, an attempt has been made to find out the minimum cost by using PSO using the data of three and six generating units