matlab

MATLAB/Simulink属于一种通用的科学计算和系统仿真语言。在MATLAB/Simulink下，从数学模型到计算机仿真模型的转换非常容易。MATLAB/Simulink提供了三种?方法：(MATLAB/Simulink is a general-purpose scientific computing, and system simulation language. In MATLAB/Simulink from the mathematical model to a computer simulation model of the conversion is easy. MATLAB/Simulink to provide ? three methods:)

绘制序列及其傅里叶变换的幅值图，并求逆变换。一个matlab程序。(Draw sequences and Fourier amplitude figure, and pray for inverter change. A matlab application. )

使用matlab通过fdtd实现一维到三维的光子晶体模拟(Using MATLAB FDTD to achieve through the one-dimensional to three-dimensional simulation of photonic crystal)

contrast adjusment Contrast is the difference in luminance or color that makes an object (or its representation in an image or display) distinguishable. In visual perception of the real world, contrast is determined by the difference in the color and brightness of the object and other objects within the same field of view. Because the human visual system is more sensitive to contrast than absolute luminance, we can perceive the world similarly regardless of the huge changes in illumination over the day or place to place. The maximum contrast of an image is the contrast ratio or dynamic range

对同步采集的同一动作模式下的脑电和信号和肌电信号进行一致性分析(Analysis the coherence between EEG and EMG)

说明：  对信号进行短时傅里叶变换和小波变换，观察其时频特性，压缩包中含有需要用到的测试信号文件，可以直接运行，供参考(Carry out short-time Fourier transform and wavelet transform on the signal, observe its time-frequency characteristics, and the compression package contains the test signal files needed, which can be directly operated for reference)

遗传算法；使用遗传算法进行图片分割，在基于内容的图像搜索上有可能用到。

function [L,C] = kmeans(X,k) KMEANS Cluster multivariate data using the k-means++ algorithm. [L,C] = kmeans(X,k) produces a 1-by-size(X,2) vector L with one class label per column in X and a size(X,1)-by-k matrix C containing the centers corresponding to each class. Version: 07/08/11 Authors: Laurent Sorber (Laurent.Sorber@cs.kuleuven.be) References: [1] J. B. MacQueen, "Some Methods for Classification and Analysis of MultiVariate Observations", in Proc. of the fifth Berkeley Symposium on Mathematical Statistics and Probability, L. M. L. Cam and J. Neyman, eds., vol. 1, UC Press, 1967, pp. 281-297. [2] D. Arthur and S. Vassilvitskii, "k-means++: The Advantages of Careful Seeding", Technical Report 2006-13, Stanford InfoLab, 2006.

在C/C++中如何调用Matlab ,是我们经常遇到的一个问题,特别是在我们刚刚入门的时候.这个代码很方便的解决这个问题(In C/C++ How to call Matlab, is that we often encounter a problem, especially in the time we were just getting started. This code is very convenient to solve this problem)

feature deflections identification