-
Matlabdaima
此为matlab的代码。包括数值o45算法及o23算法(This is the matlab code. Including numerical o45 and o23 algorithm algorithm)
- 2009-04-23 00:01:38下载
- 积分:1
-
userdefinedarraygeometry
说明: 程序为了设置自定义的天线阵列模式,仿真了各种阵列形式的性能(Procedures in order to set up a custom antenna array model, simulation of various forms of performance arrays)
- 2008-08-27 21:06:46下载
- 积分:1
-
gaussian_filter_constr
calculation of gaussian filter
- 2014-10-07 14:32:23下载
- 积分:1
-
Interpolation
This program apply iterpolation on a speech file.
- 2014-01-25 18:52:16下载
- 积分:1
-
baiguangyanshe
白光衍射很好的matlab仿真程序,可以运行实现的。(Bai Guangyan shoot good matlab simulation program can be run to achieve.)
- 2013-11-12 10:48:34下载
- 积分:1
-
dist.m
Computes distance and bearing between points on the earth
- 2012-01-26 09:33:36下载
- 积分:1
-
CCP
收集的一些CCP协议汽车标定相关的资料,希望能对从事这方面开发的朋友有些须帮助(Collection of some of the CCP protocol auto calibration of the relevant information, hoping to develop in this field to help some friends)
- 2010-08-05 19:13:48下载
- 积分:1
-
stochastic
In probability theory, a stochastic process, or sometimes random process, is the counterpart to a deterministic process (or deterministic system). Instead of dealing with only one possible reality of how the process might evolve under time (as is the case, for example, for solutions of an ordinary differential equation), in a stochastic or random process there is some indeterminacy in its future evolution described by probability distributions. This means that even if the initial condition (or starting point) is known, there are many possibilities the process might go to, but some paths may be more probable and others less.
- 2010-08-11 04:13:08下载
- 积分:1
-
Goldenmin
1-D optimal step size using golden section
- 2009-05-09 18:20:05下载
- 积分:1
-
Gauss_Seidel
一种非线性代数方程组的迭代解法。最早用于解算电力系统潮流。这种方法具有程序编制简单、占用内存少的优点,但算法收敛性差,计算时间长。(In numerical linear algebra, the Gauss–Seidel method, also known as the Liebmann method or the method of successive displacement, is an iterative method used to solve a linear system of equations. It is named after the German mathematicians Carl Friedrich Gauss and Philipp Ludwig von Seidel, and is similar to the Jacobi method. Though it can be applied to any matrix with non-zero elements on the diagonals, convergence is only guaranteed if the matrix is either diagonally dominant, or symmetric and positive definite. It was only mentioned in a private letter Gauss to his student Gerling in 1823.[1] A publication was not delivered before 1874 by Seidel.)
- 2014-11-20 22:12:52下载
- 积分:1