fkfilter

说明：  用matlab实现的图像配准的小程序，一个缩放图像，一个配准(Using matlab to achieve a small image registration procedure)

一个简化的H.261视频编码方案，最后显示两张图压缩编码后的压缩比(a simple h.261 video coding method, and finally display the compress rate of two pictures.)

可以实现求最小生成树,常用于解决图论问题(It can make something true，always solve the grarf method"proplem)

双音多频信号的合成和检测 可以实现按键音的形成和按键的检测(Synthesis and detection of dual tone multi-frequency signals can be tested key tone formation and keys)

Matlab入门篇介绍了一些基本的Matlab语句。并且有丰富的实例。(chapter introduces some basic Matlab statement. And there are abundant examples.)

有关视觉注意机制的文章，英文原文，itti(Articles on visual attention mechanisms, the English original, itti)

1） 借助MATLAB画出误差性能曲面和误差性能曲面的等值曲线； 2） 写出最陡下降法， LMS算法的计算公式（ ）； 3） 用MATLAB产生方差为0.05,均值为0白噪音S(n)，并画出其中一次实现的波形图； 4） 根据2）中的公式，并利用3）中产生的S(n)，在1）中的误差性能曲面的等值曲线上叠加画出采用最陡下降法， LMS法时H(n)的在叠代过程中的轨迹曲线。 5）用MATLAB计算并画出LMS法时 随时间n的变化曲线（对 应S(n)的某一次的一次实现）和e(n)波形；某一次实现的结果并不能从统计的角度反映实验的结果的正确性，为得到具有统计特性的实验结果，可用足够多次的实验结果的平均值作为实验的结果。用MATLAB计算并画出LMS法时J(n)的100次实验结果的平均值随时间n的变化曲线。 6）用MATLAB计算并在1）中的误差性能曲面的等值曲线上叠加画出LMS法时100次实验中的H(n)的平均值的轨迹曲线； 7）对以上实验结果给出一些你认为有价值的讨论。 （在实验中n=1,,…..N,N的取值根据实验情况确定，一般选取足够大以使算法达到基本收敛，本题作业以电子文档PDF格式提供） (1) With MATLAB to draw the contours of the error performance surface and error performance surface 2) Write down the steepest descent method, the LMS algorithm formula () 3) using MATLAB variance 0.05, mean 0 white noise S (n), and draw one to achieve the waveform diagram 4) According to the formula 2), and using 3) S (n) produced in 1), the error performance of the contours of the surfaces superimposed on draw using the steepest descent method, the LMS method is H (n) in the iterative process in the trajectory curve. 5) curve to calculate and draw the LMS method using MATLAB with time n (time corresponding to the S (n) of a first implementation) and e (n) waveform reflect a certain time to achieve results not from a statistical point of experiment the correctness of the results obtained with the experimental results of the statistical properties of the available sufficient times the average of the experimental results as a result of the experiment. Calculate and draw the LMS m)

Economic load dispatch problem is allocating loads to plants for minimum cost while meeting the constraints. It is formulated as an optimization problem of minimizing the total fuel cost of all committed plant while meeting the demand and losses .The variants of the problems are numerous which model the objective and the constraints in different ways. The basic economic dispatch problem can described mathematically as a minimization of problem of minimizing the total fuel cost of all committed plants subject to the constraints

模式识别重要分类器SVM工具箱，采用matlab实现(Important pattern recognition classifier SVM toolbox, adopting the matlab)

m文件为程序。最小二乘方法的介绍，从我的论文中截取一段出来，说明原理。N为数据的个数(m file for the program. Least squares method is introduced, from the interception of some of my papers out of that principle. N is the number of data)