distinguishable_colors

这是MATLAB中文帮助文档,对大家学习这个语言的帮助很大,非常方便实用.(This is the MATLAB Chinese help files, for all of us to learn this language is very helpful, very convenient and practical.)

遗传算法 配合matlab GAToolbox(gacyj.mat matlab 调用 ansys)

An implementation of Horn-Schunck optical flow method for 3-D images(This is an implementation of Horn-Schunck optical flow method for three dimensional images. A demo with test dataset is given.)

说明：  一种改进Sigmoid函数的变步长LMS算法(A Variable Step Size LMS Algorithm)

数字频率调制又称频移键控（FSK），二进制频移键控记作2FSK。数字频移键控是用载波的频率来传送数字消息，即用所传送的数字消息控制载波的频率。2FSK信号便是符号“1”对应于载频，而符号“0”对应于载频（与不同的另一载频）的已调波形，而且与之间的改变是瞬间完成的。 (Digital frequency modulation called frequency shift keying (FSK), binary frequency shift keying recorded as 2FSK. Digital frequency-shift keying is the carrier frequency to transmit digital information, that is, the number of messages transmitted with the control of the carrier frequency. 2FSK signal is the symbol of "1" corresponds to the carrier frequency, while the symbol "0" corresponds to the carrier frequency (with a different carrier frequency to another) and modulated waveform, but also between the change was instantaneous.)

Hu矩及其改进Hu矩的文章以及Matlab的实现(Hu moments and its improved Hu moments of the article, as well as the realization of Matlab)

数值解的方法解释“战争使捕鱼量下降，食用鱼增加，鲨鱼等也随之增加，但鲨鱼的比例却大幅增加”这一现象。(Numerical interpretation of the " war to the decline of fishing, increased consumption of fish, sharks, also increased, but the proportion of sharks has increased substantially," the phenomenon.)

是一些利用小波变换进行多源图像融合的程序 (Some wavelet transform image fusion process)

共轭梯度法是介于最速下降法与牛顿法之间的一个方法，它仅需利用一阶导数信息，但克服了最速下降法收敛慢的缺点，又避免了牛顿法需要存储和计算Hesse矩阵并求逆的缺点，共轭梯度法不仅是解决大型线性方程组最有用的方法之一，也是解大型非线性最优化最有效的算法之一。(Conjugate gradient method is between the steepest descent method and Newton method between a method that only use the first derivative information, but the steepest descent method to overcome the disadvantage of slow convergence, but also avoids the need to store and calculate Newton Hesse matrix and the shortcomings of the inverse, conjugate gradient method is not only linear equations to solve large-scale one of the most useful, large-scale nonlinear optimization solution is also the most efficient algorithms.)

a really useful algorithm for face detection based on whatever you like