multi_scale_edge_detection_

电机abc系统转换的matlab仿真程序，c语言编写，matlab环境下运行(Motor abc system conversion matlab simulation program, c language, matlab environment to run)

to flip image in matlab

这是有关MATLAB学习的一些编程技巧和使用的一个程序示例(MATLAB STUDY )

用来模拟粒子运动的。此元胞自动机需要 一种不同类型的元胞的邻居。此元胞的邻居时刻变化，因此某一个方向运动趋势， 将继续在同一个方向。换言之，此规则保存势头，这是基础的动力仿真。这种邻 居通常被称为 margolis邻居并且这种邻居通常由重叠的 2x2 块的元胞构成。在下 面的表格中，偶数步长时左上方 4 元胞为邻居关系，奇数步长时右下的 4 元胞为 邻居关系。某一特定元胞在每一个时间步长都有3 个邻居，但是具体的元胞构成 了邻居的旋转和反复。(Used to simulate the particle movement. The cellular automaton requires a different type of cell neighbors. This moment of change in a neighbor cell, so a certain direction the trend will continue in the same direction. In other words, this rule saved momentum, which is the foundation of the power simulation. This neighborhood is often called a neighbor and this neighbor margolis usually overlapping 2x2 blocks of cellular composition. In the following table, even when the step left four yuan for the neighbor cell, the odd step 4 when the lower right cell for the neighborhood. A particular cell in each time step has three neighbors, but the specific cellular composition of the neighbor s rotation and repeated.)

武汉大学的matlab教程，内容简单，比较实用，适合初学者(Wuhan University of matlab tutorial is simple, more practical, suitable for beginners)

稳健独立分量分析算法，实现任意混合信号的分离。(Strong and independent component analysis algorithm to achieve any mixed-signal separation.)

说明：  1. 连续和离散时间信号与系统的MATLAB表达及简要分析。 （1） 列出单位冲激函数、单位阶跃、复指数函数等连续信号的MATLAB表达式。 （2） 产生一个幅度为2，数字角频率为 ，相位为 的正弦序列。 (1. Continuous and discrete-time signals and systems and a brief analysis of MATLAB expression. (1) are listed in unit impulse function, unit step, complex exponential function, such as the MATLAB signal for expression. (2) produce a range of 2, the number of angular frequency for the sinusoidal phase sequence for.)

To design a low pass Filter using Blackman window matlab code with example

mimo系统性能测试的matlab源程序(mimo system performance test matlab source)

基于粒子群算法的图像分割算法代码源程序，主要是基于阈值分割的方法的(Image segmentation algorithm based on particle swarm optimization (pso) algorithm)