-
sommth
调用smooth函数进行加噪数据的平滑处理(noise and smooth
)
- 2011-10-13 21:11:51下载
- 积分:1
-
jacobi
用matlab编写的雅克比迭代算法,简单实用(Prepared using matlab Jacobi iterative algorithm is simple and practical)
- 2013-12-30 14:00:57下载
- 积分:1
-
SLPS_co-simulation
Cadence仿真技术和MathWorks的MATLAB Simulink软件包将两个业界领先的仿真工具集成在一个强大的协同仿真环境(SLPS)。
本文档介绍怎么这两大工具结合起来用。(Cadence simulation technology and MATLAB Simulink MathWorks software package to two industry-leading simulation tools integrated in a powerful co-simulation environment (SLPS).
This document describes how to use these two tools combine)
- 2013-12-31 23:53:32下载
- 积分:1
-
Spheredetect
Detecting spheres in matlab
- 2015-04-16 14:28:57下载
- 积分:1
-
signal_seg
利用独立分量分析方法对三个信号进行分离,入门学习(The use of independent component analysis method to separate the three signals, Introduction to learning)
- 2009-04-15 11:37:10下载
- 积分:1
-
matlab
利用遗传算法求解75个城市之间的最优路径,得到的结果较为理想。(The use of genetic algorithm for optimal path between the 75 cities, the result is more desirable.)
- 2012-06-17 18:47:04下载
- 积分:1
-
CHAP4_3
matlab+PID控制程序,基于BP神经网络的控制程序(matlab+ PID control program)
- 2010-08-16 19:48:25下载
- 积分:1
-
mx_CZT_fltp
CZT算法的任意点数FFT变换的浮点C程序,加入MEX借口函数,从而实现matlab的直接调用!(Floating-point C program, the CZT algorithm any point FFT transform added MEX an excuse to function, in order to achieve the matlab direct calls!)
- 2012-08-23 18:43:33下载
- 积分:1
-
svkernel函数
svkernel函数为核函数 ,容易实现 , 参照核函数的公式编写代码就成(matlab)
- 2020-07-01 07:20:01下载
- 积分:1
-
RIV
适当选择辅助变量,使之满足相应条件,参数估计值就可以是无偏一致。估计辅助变量法的计算量与最小二乘法相当,但辨识效果却比最小二乘法好的多。尤其当噪声是有色的,而噪声的模型结构又不好确定时,增广最小二乘法和广义最小二乘法一般都不好直接应用,因为他们需要选用特定的模型结构,而辅助变量法不需要确定噪声的模型结构,因此辅助变量法就显得更为灵活,但辅助变量法不能同时获得噪声模型的参数估计。(Choose appropriate secondary variables, meet the relevant conditions and parameter estimate can be unbiased consistent. Estimated auxiliary variable method calculation and least square method is quite, but the identification effect is much better than the least square method. Especially when the noise is colored, and noise model structure and not sure, augmented the least squares and the generalized least squares method is generally not used directly, because they need to choose specific model structure, and auxiliary variable method does not need to make sure that noise model structure, so the auxiliary variable method is more agile, but not at the same time auxiliary variable method for noise model parameter estimation.)
- 2012-12-28 16:06:51下载
- 积分:1