GA 遗传算法工具包

fftThe function of the false color with FFT improved ah you want me on TV for how the writing carefully please upload the detailed information function, including content that (at least 20 words). Try not to let the webmaster spending time on that for you fixed. Compressed package can t have a password when decompression. (The function of the false color with FFT improved ah you want me on TV for how the writing carefully please upload the detailed information function, including content that (at least 20 words). Try not to let the webmaster spending time on that for you fixed. Compressed package can t have a password when decompression. )

实现微分方程向前查分 （教材为微分方程数值解，习题5.2.4）(forward difference)

matlab 实现分水岭算法，可以根据具体的需要来该进(matlab to achieve watershed algorithm may be based on specific needs of the Progressive)

matlab中只有fsolve求解非线性方程组的方法，求解其他非线性方程组需要自己编程(In matlab, only fsolve solves nonlinear equations. To solve other nonlinear equations, you need to program yourself.)

假设一个接收到的信号为：x(t)=s(t)+n(t), 其中s(t)=A*cos(wt+a), 已知信号的频率w=1KHz， 而信号的幅度和相位未知，n(t)是一个服从N(0,1)分布的白噪声。为了利用计算机对信号进行处理， 将信号按10KHz的频率进行采样。 通过对x(t)进行LMS自适应信号处理，从接收信号中滤出有用信号s(t). 在未知信号频率的情况下，通过对x(t)进行LMS自适应信号处理，从接收信号中滤出有用信号s(t). (Assuming a received signal: x (t) = s (t)+ n (t), one of s (t) = A* cos (wt+ a), the known frequency signal w = 1KHz, And the signal amplitude and phase of the unknown, n (t) is a subject to N (0,1) the distribution of white noise. The use of computers in order to deal with the signal, The signal by sampling frequency of 10KHz. Of x (t) for LMS adaptive signal processing, filtering from the received signal in the useful signal s (t). Frequency signals in unknown circumstances, the adoption of x (t) for LMS adaptive signal processing, filtering from the received signal in the useful signal s (t).)

matlab经典教程 内容为5个ppt文件 对于初学者不错(matlab program elements for the classic 5 ppt file good for beginners)

说明：  图像置乱中的仿射变换，优点是加密和解密的不需要周期迭代，图像置乱效果好(it is good for image scrambling becaus of low compute complexity)

基于比例趋近率的控制器实现位置跟踪,滑模控制(the position tracking based on proportion approach )

matlab图像处理宝典，内容很全面，适合自学者和相关领域的研究人员。(matlab image processing Collection, the content is very comprehensive, suitable for self-learners and researchers of related fields.)

最小均方濾波器是一類可通過最小化誤差訊號之均方值而修正濾波器係數，以類比所需理想濾波器的自適應濾波器，其中作為修正依據的誤差訊號為理想參考訊號與實際輸出訊號之差。該種濾波器所用之最小均方法只以當前之訊號誤差值為準進行修正，是一種隨機梯度下降法。最小均方法係由斯坦福大學的Bernard Widrow教授及他的首位博士班學生Marcian Hoff於1960年提出。最小均方濾波器屬於常見的自適應濾波器種類之一。(The minimum mean square filter is an adaptive filter that can correct the filter coefficients by minimizing the mean square value of the error signal to analogize the desired ideal filter. The error signal used as the correction reference is the ideal reference signal and the actual output. The difference between the signals. The minimum averaging method used in this kind of filter is only corrected based on the current signal error value, which is a stochastic gradient descent method. The minimum mean method was proposed in 1960 by Professor Bernard Widrow of Stanford University and his first PhD student, Marcian Hoff. The least mean square filter is one of the common types of adaptive filters.)