gaosi

特征惩罚算法 对手竞争学习算法 matlab程序源代码哦(Characteristics of punishment algorithm rival competitive learning algorithm matlab program source code Oh)

Singularity detection for 1-D signal using wavelet maxima.

perceptron classification in matlab

缴费点选址最优化模型代码，超强推荐，数学建模经典例子(Payment Point location optimization model code, super recommended classic example of mathematical modeling)

direct digital synthesis CORDIC

二代小波变换安装程序，希望初学者掌握基本既能(Second generation wavelet transform setup, I hope both beginners master the basic)

贪食蛇，蛇头是蓝色的，挺好玩的，在turbo c下运行(Tanshichi, snakeheads are blue, very good play, in running turbo c)

今天上传《数学实验与Matlab》程序，希望对大家有用！(today uploaded "Matlab mathematical and experimental" procedures in the hope that it may be useful right! Thank you!)

聚类算法，不是分类算法。分类算法是给一个数据，然后判断这个数据属于已分好的类中的具体哪一类。聚类算法是给一大堆原始数据，然后通过算法将其中具有相似特征的数据聚为一类。这里的k-means聚类，是事先给出原始数据所含的类数，然后将含有相似特征的数据聚为一个类中。所有资料中还是Andrew Ng介绍的明白。首先给出原始数据{x1,x2,...,xn}，这些数据没有被标记的。初始化k个随机数据u1,u2,...,uk。这些xn和uk都是向量。根据下面两个公式迭代就能求出最终所有的u,这些u就是最终所有类的中心位置。(Clustering algorithm, not a classification algorithm. Classification algorithm is to give a figure, and then determine the data belonging to a specific class of good which category. Clustering algorithm is to give a lot of raw data, and then through the algorithm which has similar characteristics data together as a class. Here k-means clustering, is given in advance the number of classes contained in the raw data, then the data contain similar characteristics together as a class. All information presented in or Andrew Ng understand. Firstly, raw data {x1, x2, ..., xn}, the data is not labeled. K random initialization data u1, u2, ..., uk. These are the vectors xn and uk. According to the following two formulas can be obtained final iteration all u, u is the ultimate all these classes the center position.)

通过建立运动模糊数学模型, 进行了消除运动模糊的仿真实验, 维纳滤波恢复运动模糊图像效果较 好。在图像恢复技术中, 点扩展函数( PSF) 是影响图像恢复结果的关键因素, 所以常常利用先验知识和后验判 断方法估计PSF函数来恢复图像。实验表明在实际恢复过程中如果运动模糊图像混入了噪声, 必须考虑到信噪 比、噪声的自相关函数和原始图像的自相关函数对恢复后图像的影响。(Through the establishment of mathematical model of motion blur was conducted simulation experiments to eliminate motion blur, Wiener filter to restore motion-blurred image effect is good. In the image restoration technology, the point spread function (PSF) that affect the results of image restoration a key factor, so often used to determine a priori knowledge and a posteriori estimation PSF function to restore the image. Experimental results show that the actual recovery process if the motion-blurred images mixed with the noise, we must take into account the signal to noise ratio, the noise autocorrelation function and the autocorrelation function of the original image of the restored image effects.)