matlabdaima

包含所有约束优化问题中涉及的matlab源程序。包含Rosen梯度法求解约束多维函数的极值，外点罚函数法解线性等式约束，外点罚函数法解一般等式约束，内点罚函数法，混合罚函数法，混合罚函数加速法，乘子法，坐标轮换法及复合形法(Contains all the constrained optimization problem involves matlab source. Contains Rosen gradient method for solving constrained multi-dimensional function extremum, external point penalty function method for solving linear equality constraints, external point penalty function method for solving general equality constraints, interior point penalty function method, mixed penalty function method, mixed penalty function acceleration method , multiplier method, the coordinate rotation method and complex method)

Basically template match with rotation. Given a template as binary edge image the function find the object that match the template in the image. This work even if the template and object are in different orientations. The matching is is done by rotating the template and matching it to the image in various of angles, the best match is returned. Matching the template to the image can be done by various of template match approaches including crosscorrelation and generalized hough transform. See the readme file supplied in the code zip file for more details

matlab的数学手册，包含很多有用的数学函数可以调用！(matlab mathematical manual, containing many useful mathematical functions can be called!)

matlab教学ppt，总体上概括了matlab的各种功能。(matlab teaching ppt, in general outlines the various functions of matlab.)

用simulink搭建的2dpsk调制及解调的通信系统(Simulink structures 2dpsk with modulation and demodulation of the communication system)

A simulink model for a direct online starting of an induction motor connected directly across the line.

高频多续的进行信号处理，得到高频的谱分析，建立hose工具箱(Estimates ARMA parameters via the q-slice algorithm.)

保护最优程序，用matlab编写，适合电力系统从业人员使用。(Optimal protection program , written in matlab, practitioners use for the power system . )

实现维纳滤波用于语音增强。第一步采用频域谱函数计算最佳的维纳滤波器，再对输入带噪信号进行滤波；第二步是在此基础上的改进，用了自适应的思想，及时根据当前帧的状态更新修正滤波器的系统函数，得到更精确的无噪语音信号。第三步是采用自适应LMS方法，在时域迭代计算滤波器系数，迭代次数足够多时可得到较准确的有用信号。(Implement wiener filtering used in speech enhancement. First step optimum wiener filter is obtained by using the frequency spectrum function, again to input the signal with noise filtering The second step is the improvement on the basis of this, with the idea of adaptive, and in a timely manner according to the current frame updates correction system function of the filter, get a more accurate without noise speech signal. The third step is to use the adaptive LMS method, iterative calculation in time domain filter coefficient, the number of iterations enough to get the useful signal accurately.)

基于MATLAB的元胞自动机模型代码 Percolation Cluster 渗流集群模型(MATLAB-based cellular automata model code Percolation Cluster )