MATLAB-changyongsuanfa

经典PID与增加了高阶微分的改进PID的对比程序。(The classical PID VS the GPID with high order PID differential.)

Introduce Pattern Recognition in Matlab

代码是根据文献思想自己编写，已经过多次试验，实现对图像处理过程中的svd分解，过程中需要调用一个omp函数，可以自己随便调用一个(The code literature thinking of their own writing, has been repeatedly test svd decomposition of image processing, the process need to call a omp function can casually call a)

This research work is used performence improvement of frequency.It is frequency division multiplexing.

This is a JPEG encoding & decoding program of still image. It does not use level shifting. Discrete Cosine transform (DCT) is performed both by classical & Chen s Flowgraph methods. Predefined JPEG quantization array & zigzag order are used here. RUN - LEVEL coding is used instead of Huffman coding. Compression ratio is compared for each DCT method. Effect of coarse and fine quantization is also examined. The execution time of 2 DCT methods is also checked. In addition, most energatic DCT coefficients are also applied to examine the effect in MatLab 7.4.0 R2007a. Input is 9 gray scale pictures & output is 9*9=81 pictures to compare. Blocking effect is obvious. (This is a JPEG encoding & decoding program of still image. It does not use level shifting. Discrete Cosine transform (DCT) is performed both by classical & Chen s Flowgraph methods. Predefined JPEG quantization array & zigzag order are used here. RUN - LEVEL coding is used instead of Huffman coding. Compression ratio is compared for each DCT method. Effect of coarse and fine quantization is also examined. The execution time of 2 DCT methods is also checked. In addition, most energatic DCT coefficients are also applied to examine the effect in MatLab 7.4.0 R2007a. Input is 9 gray scale pictures & output is 9*9=81 pictures to compare. Blocking effect is obvious. )

Script used in the Japanese webinar for image processing and computer vision held on Mar. 01, 2013

自己搭的电力系统四机两区模型，用于FACT装置协调控制仿真。(Take power system engine two zone model, simulation of coordination control for FACT device. )

再matlab上实现基于扩频的数字水印。图像处理(This is a simple spread-spectrum based informed watermarking implementation in MATLAB. )

梯度下降法是最早最简单，也是最为常用的最优化方法。梯度下降法实现简单，当目标函数是凸函数时，梯度下降法的解是全局解。一般情况下，其解不保证是全局最优解，梯度下降法的速度也未必是最快的。梯度下降法的优化思想是用当前位置负梯度方向作为搜索方向，因为该方向为当前位置的最快下降方向，所以也被称为是”最速下降法“。最速下降法越接近目标值，步长越小，前进越慢。(The gradient descent method is the earliest and most simple and most commonly used optimization method. The gradient descent method is simple to realize. When the objective function is a convex function, the solution of the gradient descent method is a global solution. In general, the solution is not guaranteed to be the global optimal solution, and the gradient descent method is not necessarily the fastest. The optimization idea of gradient descent method is to use the current position negative gradient direction as the search direction, because the direction is the fastest descending direction of the current position, so it is also called the steepest descent method. The faster the slowest descent approach is closer to the target, the smaller the step, the slower the progress.)

Bayesian classifier experimental pattern recognition programs used in the experimental program