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这个一些经典的数据挖掘matlab源程序，比较全。(some of the classic source Matlab data mining, comparative whole.)

solution to differential equation use rongcuta method

关于如何使用matlab的书籍，应用MATLAB语言处理数字信号与数字图像。(Books on how to use matlab MATLAB language processing digital signals and digital images.)

three phase model of rectifier. make few changes as per requirement

solves 1d linear wave eq. by 4th order 13 point DRP scheme

常见的基于人类视觉特性的图像增强算法由于是同时完成动态范围压缩和对比度增强,导致增强图像的整体对比度不高、边缘部分效果不佳.通过分析人类视觉系统的全局和局部自适应调节原理及人眼视网膜神经节细胞感受野的传输特性,提出一种仿生图像增强法.为适应人类视觉系统对光强的主观感觉特性,对图像作全局亮度对数变换 并利用人眼的主观亮度感觉与实际光强的对数呈局部线性关系的特性,采用视网膜神经元感受野三高斯 模型来调整亮度图像的局部对比度 最后利用线性变换恢复图像的彩色信息.实验结果表明,该算法的增强效果良好,特别是对于图像边界处,既能很好地增强边缘对比,又可有效地提升区域亮度对比和亮度梯度信息. (image enchancement)

基于matlab 搭建的跳频系统的源代码。(Frequency hopping systems built based on matlab source code.)

The model used for creating the reference voltage is shown in Fig. 4. First, photovoltaic output current (Ipv) and output voltage (Vpv) are passed through a first order low pass filter with a magnitude of G = 1 and a time constant of T = 0.01 seconds in order to filter out the high frequency components or harmonics from these signals as shown in Fig. 5 and Fig. 6. The filtered current and voltage signals (Ipv_F and Vpv_F) are then fed into the MPPT control block that uses the Incremental Conductance Tracking Algorithm. An algorithm that is based on the fact the slope of the PV array power curve shown in Fig. 7 is zero at the Maximum Power Point (MPP), positive on the left of the MPP, and negative on the right. The MPP can thus be tracked by comparing the instantaneous conductance (I/V) to the incremental conductance (∆ I/∆ V) [11] as in (1):

Gaussian的小波去噪工具箱，基于matlab(Gaussian Wavelet Denoising Matlab Toolbox Various wavelet shrinkage and wavelet thresholding estimators, appeared in the nonparametric regression literature, are implemented in MATLAB§. These estimators arise from a wide range of classical and empirical Bayes methods treating either individual or blocks of wavelet coefficients.)

1.1 MATLAB软件介绍 1.1.1 MATLAB发展进程 1.1.2 MATLAB的基本功能 1.1.3 MATLAB语言的特点 1.1.4 MATLAB R2011a的新功能 1.2 MATLAB安装与运行 1.3 MATLAB的运行环境 1.3.1 命令窗口 1.3.2 历史命令窗口 1.3.3 工作空间 1.3.4 当前文件夹 1.4 MATLAB帮助文档 1.4.1 帮助窗口 1.4.2 帮助命令 1.5 变量 1.6 矩阵 1.6.1 矩阵创建 1.6.2 数列创建 1.6.3 矩阵的基本运算 1.7 高维矩阵 1.7.1 创建高维数组 1.7.2 高维数组操作函数 1.8 演示MATLAB 1.9 小波分析概述 (1.1 MATLAB Software 1.1.1 MATLAB development process 1.1.2 MATLAB basic functions 1.1.3 MATLAB language features 1.1.4 MATLAB R2011a new feature 1.2 MATLAB installation and operation 1.3 MATLAB runtime environment 1.3.1 Command Window 1.3.2 History Command Window 1.3.3 Workspace 1.3.4 Current folder 1.4 MATLAB help documentation 1.4.1 Help Window 1.4.2 Help Commands 1.5 Variables 1.6 Matrix 1.6.1 Creating Matrix 1.6.2 series created 1.6.3 Basic operation matrix 1.7 high-dimensional matrix 1.7.1 Creating high-dimensional arrays 1.7.2 High-dimensional array manipulation functions 1.8 demo MATLAB 1.9 Overview of Wavelet Analysis )