Arb

不同锐化方法的图像锐化算法比较 有图演示(Different methods of image sharpening sharpening algorithm have more plans demo)

说明：  图像实验3空域滤波，在matlab环境下进行空域滤波(Experiment 3 spatial filter images in matlab environment with spatial filter)

在HHT变换后，可用于计算平均周期，即用整个序列的长度分别除以极大值点个数和极小值点个之后求平均(average period prediction)

典的三代相干体算法C1/C2/C3,用于地震资料解释中(compute coherency in seismic interpretation)

数值计算中Jacobi迭代法的Matlab程序 (numerical calculation Jacobi iteration of the Matlab program)

通过此程序希望可以对基本的分岔过程有一个感性的认识(Hope that through this procedure can be the basic process of bifurcation has a perceptual awareness of)

维纳滤波器，用于在PSF已知情况下的反卷积(wiener filtering)

汽车爬坡功率函数，在不同的时间汽车的速度和位移，及功率运行桩孔(Car climbing power function, velocity and displacement of the car at different times, and the power to run Pile)

说明：  若非奇异矩阵A能够分解为一个正交矩阵Q与非奇异上三角矩阵R的乘积，即： A=QR。则称其为A的QR分解。 实现QR分解的方法有很多种，包括Givens变换法，Householder变换法，Schemit正交化法。具体原理可以参考《矩阵论》（程云鹏，西工大出版）教材，这里仅给出三种实现QR分解的程序。(If nonsingular matrix A can be decomposed into a product of orthogonal matrix Q and nonsingular upper triangular matrix R, that is: A=QR. It is called QR decomposition of A. There are many methods to realize QR decomposition, including givens transformation, householder transformation, and scheme orthogonalization. The specific principle can refer to the teaching materials of matrix theory (Cheng Yunpeng, published by Xigong University). Here, only three kinds of QR decomposition procedures are given.)

Code in matlab about stocastic proccess