KL

This code sus higher order technique to estimate the frequency of a modulated signal

说明：  MATLAB编程实现如何分解结构元素,以及腐蚀与膨胀运算，内含具体源程序，且已运行成功(MATLAB programming to breakdown structure elements, and corrosion and expansion of operations includes the specific source, and has been running successfully)

ACADO matlab工具包，适用于最优控制；模型预测控制(ACADO Integrators and algorithms for direct optimal control, model predictive control and parameter estimation to MATLAB.)

拉格朗日插值法和牛顿插值法，matlab软件编程，.m文件(Lagrange interpolation and Newton interpolation, MATLAB software programming,.M file)

说明：  3D画图,matlab基础教程，适合新手学习入门........(Matlab based tutorial, suitable for novice learning introductory...)

说明：  matlab的边缘检测程序，里面还附带和别的算法比较程序(matlab edge detection process, which is also attached to the procedures and other algorithms)

仿真程序：首先需要用一个随机发生器产生（0.1）内的均匀随机数，然后再将该序列映射到对应的幅度电平｛Am｝。然后将这个范围再分成4个相等的区间，这些子区间分别对应于4个信号比特的符号00，01，10，11。检测器观察到r=Am+n，并且计算r和4种可能传输的信号幅度之间的距离，它的输出Bm就是相应于最小距离的信号电平。Bm与真正的的传输信号幅度比较，差错计数器用来对检测器产生的差错计数。(Simulation program: first need to use a random generator (0.1) the uniform random number, then the sequence is mapped to the corresponding amplitude level {Am}. Then this range has been divided into four equal intervals, these sub-intervals corresponding to four signal bits of the symbol 00,01,10,11. Detector observed r = Am+ n, and calculate r and 4 possible transmission distance between the signal amplitude, its output corresponding to the minimum distance Bm is the signal level. Bm and the real rate of transmission of the signal comparison, error detection counter is used to generate the error count.)

共炮点地震记录合成，添加不同比例噪声，进行小波变换去噪处理，得到比较理想的效果(the synthetic seismic record of common shot, add different noise, and do wavelet transform on it, then we can get a better record)

灰色预测gm（1-1）算法，用于短期时间序列预测，包含残差检验等各种必要检验(Gray predicted all the necessary inspection gm (1-1) algorithm for short-term time series prediction, including residuals inspection)

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.)