load-flow-calculation

super resolution source code for Matlab

ofdm wireless lan document

说明：  matlab开发函数，一些简单的例子和数字滤波器设计函数(matlab development function, some simple examples and digital filter design function)

基于强跟踪滤波算法的惯性加GPS组合导航matlab仿真程序(Strong tracking filter algorithm based IMU+ GPS integrated navigation matlab simulation program)

解决中立性微分方程的Matlab程序. 中立性微分方程即微分带时延的。(Matlab program to solve the differential equations of neutral. Use matlab to simulate.)

使用MATLAB，实现以下四个功能 一、获取图片RGB值：给定一张图片，获取点(x,y)，以及(x,y)周围8个点的R、G、B值。 二、实现rgb2gray函数：使用matlab实现rgb2gray的功能，并能计算出转换后灰度图片的方差。 三、灰度图对比度增强：分别使用灰度拉伸和直方图均衡化，增强给定图的对比度。 四、图像去噪：对给定图片加椒盐噪声，并选择两个去噪算法去除椒盐噪声。 (Using MATLAB, to achieve the following four functions First, access to image RGB value: Given a picture, get the point (x, y), and (x, y) around 8 o clock in the R, G, B values. Second, the realization rgb2gray function: using matlab realize rgb2gray functions, and can calculate the variance after the conversion of grayscale image. Third, the grayscale contrast enhancement: namely, the use of gray stretch and histogram equalization, contrast enhancement given graph. Fourth, the image denoising: for a given image add salt and pepper noise, and you know at least two denoising algorithm to remove salt and pepper noise. )

matlab使用USB摄像头读取实时图像(Matlab uses a USB camera to read real time images)

说明：  模糊熵（Fuzzy Entropy）的MATLAB程序(MATLAB codes of Fuzzy Entropy)

灰色按鈕破解 灰色按鈕破解 (Gray button gray button crack crack)

迭代法是解线性代数方程组的另一类方法，特别适用于解大型稀疏线性方程组。它的基本思想是针对求解问题预先设计好某种迭代格式，从而产生求解问题的近似解迭代序列，在迭代序列收敛于精确解的情况下，按精度要求取某个迭代值作为问题解的近似值。迭代法具有原始系数举证始终不变，算法简单，编写程序较方便，所需存储单元较少的优点。(iterative method was the linear algebraic equations of the other methods, particularly applicable to the large sparse linear equations. The basic idea is to solve the problem in advance against the design iteration some good format, thereby creating problems for the approximate solution of iterative sequence, the iterative sequence converges to the exact solution, precision demanded by a certain value as a question iterative solution approximation. Iteration with the original proof coefficient remains unchanged, the algorithm is simple, the preparation process more convenient, less required storage unit advantages.)