computroationmatrix

this file calculate reactive power of 39 buses ieee standard system with pso algorithm

简单实用的matlab教程 对初学者很实用(Simple and practical matlab tutorial is very useful for beginners)

基于相关算法检测地下管路的漏水点:分别用仪器测量漏水处漏水的声音，两个测井所测得的漏水声音两条波形相似但交错一段时间.(Based algorithm to detect underground pipeline leakage points)

说明：  MATLAB图像处理源程序3：程序代码说明 P0301：数字图像矩阵数据的显示及其傅立叶变换 P0302：二维离散余弦变换的图像压缩 P0303：采用灰度变换的方法增强图像的对比度 P0304：直方图均匀化 P0305：模拟图像受高斯白噪声和椒盐噪声的影响 P0306：采用二维中值滤波函数medfilt2对受椒盐噪声干扰的图像滤波 P0307：采用MATLAB中的函数filter2对受噪声干扰的图像进行均值滤波 P0308：图像的自适应魏纳滤波 P0309：运用5种不同的梯度增强法进行图像锐化 P0310：图像的高通滤波和掩模处理 P0311：利用巴特沃斯（Butterworth）低通滤波器对受噪声干扰的图像进行平滑处理 P0312：利用巴特沃斯（Butterworth）高通滤波器对图像进行锐化处理(MATLAB image processing source code 3: Procedure Code Description P0301: digital image data matrix display and Fourier Transform P0302: two-dimensional discrete cosine transform image compression P0303: using gray transform method to enhance the contrast of the image P0304: histogram equalization P0305: Simulation images by white Gaussian noise and Impulse noise impact P0306: 2D median filtering of function medfilt2 on the Salt and Pepper noise image filtering P0307: MATLAB functions filter2 mean filtering the noise in the image P0308: Image Adaptive Filter Weiner P0309: use five different gradient Enhancement Act for image sharpening P0310: the image of the high-pass filtering and mask handling P0311: use Butterworth (Butterworth) low-pass filter on the noise in the image smoothed P0312: use Butterworth (Butterworth) high-pass filter for image sharpening)

语音识别0到9十个数字，是函数，识别率90 以上.(speech recognition)

matlab电子教案，适合于初学者，包括操作基础，绘图(Matlab electronic lesson plans, suitable for beginners, including operating basis, mapping, etc.)

无刷永磁直流电动机模型，可用于飞轮储能。基于matlab的simulink建立。(Brushless permanent magnet DC motor model can be used for flywheel energy storage. Established based on the matlab simulink.)

程序提出了一种基于人群混合算法，是粒子群优化和引力搜索算法的组合。主要目标提高整合PSO和GSA算法的能力(Hybrid Particle Swarm Optimization and Gravitational Search Algorithm (PSOGSA) A new hybrid population-based algorithm (PSOGSA) is proposed with the combination of Particle Swarm Optimization (PSO) and Gravitational Search Algorithm (GSA). The main idea is to integrate the ability of exploitation in PSO with the ability of exploration in GSA to synthesize both algorithms’ strength. Some benchmark test functions are used to compare the hybrid algorithm with both the standard PSO and GSA algorithms in evolving best solution.)

在matlab中偏微分的典型例子的代码，例如波形方程，热传导方程等()

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