A-robust-watermarking-method-for-copyright-protec

利用MATLAB解决偏微分方程中的一些问题,如插值求解(Partial Differential Equations using MATLAB to solve some problems, such as interpolation to solve)

说明：  遗传算法和BP神经网络组合，风速的超短期预测(The combination of genetic algorithm and BP neural network can predict wind speed)

这个方法有两个好处。 （ a ）虽然只是一个半径差逼近，很容易找到最高在一个小蓄电池，因为通过降低 隐平滑做的蓄电池。（ b ）在同一时间处理时间搜索减少 (Pattern Recognition and Image Procesing Group. The size of the accumulator is varied as hierarchical voting is performed. This has two advantages. [a] While the radius is only a poor approximation, it is easier to find the maximum in a small accumulator and because by means of the downsampling implicit smoothing is done to the accumulator. [b] At the same time processing time for the search is reduced.)

模糊集合理论的matlab程序,运算时间短,程序简单(Fuzzy set theory the matlab procedure, computing time is short, simple procedures)

平凹腔激光模式计算程序，利用边界元方法计算，matlab编程！(concave cavity laser mode procedures, the use of the boundary element method, the Matlab programming!)

双DQ锁相PLL算法的研究，具有一定参考价值。(Research Documentation double DQ phase-locked PLL algorithm has some reference value.)

基于matlab,利用AMDF方法检测语音的基音周期(Based on matlab, the use of methods AMDF Pitch Detection of Speech)

说明：  自己做的一个Matlab小时钟，可以自己更换背景图片，供大家互相学习(This is a samll clock based matlab,you can change the background by yourself.Hope your enjoy about it!)

对stoke 方程的非协调员的新型解法,效率高，求解时间段等特点(a new method for stoke equation)

此为模式识别中的Fisher线性判别方法求分类器。进行了男、女错误率和总错误率的统计。 全部程序流程如下： 1、读取FAMALE.TXT文件把身高或体重给数组，并求x1的样本均值m1和内离散度S1； 2、读取MALE.TXT文件把身高或体重给数组，并求x2的样本均值m2和内离散度S2； 3、求最佳变换向量和阀值点； 4、读取Test2.txt文件把对应的身高或体重给数组A并求A的样本数M； 5、把最佳变换向量和阀值点、x代入判别方程g（x）； 6、对本判别的错误率进行统计。(This is the pattern recognition method, to calculate the Fisher linear discriminant classifier .Were male , female and total error rate error rate statistics . All program flow is as follows : 1 , read FAMALE.TXT file to height or weight to the array, and find the sample mean m1 x1 and internal dispersion S1 2 , read MALE.TXT file to height or weight to the array, and find the sample mean m2 and x2 within the dispersion S2 3 , for the best transformation vector and the threshold point 4 , read Test2.txt file to the corresponding height or weight requirements for the array A and A is the number of samples M 5 , the best transformation vector and the threshold point , x substituted into the discriminant equation g (x) 6 , determine the error rate of the statistics . )