登录
首页 » matlab » EnsembleKalman_filter

EnsembleKalman_filter

于 2008-12-02 发布 文件大小:5024KB
0 268
下载积分: 1 下载次数: 6

代码说明:

说明:  集合卡尔曼滤波(EnKF) 数据同化方法可以避免了EKF 中协方差演变方程预报过程中出现的计算不准确和关于协方差矩阵的大量数据的存储问题,最主要的是可以有效的控制估计误差方差的增长,改善预报的效果。(Ensemble Kalman Filter (EnKF) data assimilation methods can be avoided in the EKF covariance forecasting the evolution equation arising in the course of the calculation is not accurate and on the covariance matrix of a large amount of data storage problems, the most important and effective control can be estimated error variance of the growth, improvement in forecasting results.)

文件列表:

EnsembleKalman_filter
.....................\assimilate.m
.....................\bin
.....................\...\L3_step_c.mexa64
.....................\...\L3_step_c.mexglx
.....................\...\L40_step_c.mexa64
.....................\...\L40_step_c.mexglx
.....................\...\QG_step_f.mexa64
.....................\...\QG_step_f.mexglx
.....................\calc_bestrmse.m
.....................\calc_h.m
.....................\calc_k.m
.....................\calc_loccoeffs.m
.....................\calc_r.m
.....................\calc_rlocal.m
.....................\calc_stats.m
.....................\htm" target=_blank>CHANGELOG
.....................\fmain.m
.....................\generate.m
.....................\genU.m
.....................\get_obs.m
.....................\get_pos.m
.....................\get_prm.m
.....................\get_prmstruct.m
.....................\htm" target=_blank>LICENSE
.....................\main.m
.....................\models
.....................\......\common
.....................\......\......\dp5step.m
.....................\......\......\LA_generate_sample.m
.....................\......\......\plot_x.m
.....................\......\......\rk4step.m
.....................\......\......\shuffle.m
.....................\......\L3
.....................\......\..\L3.m
.....................\......\..\L3_step.m
.....................\......\..\L3_step_c.c
.....................\......\..\model_generate.m
.....................\......\..\model_getprmstruct.m
.....................\......\..\model_plotstate.m
.....................\......\..\model_setprm.m
.....................\......\..\model_step.m
.....................\......\L40
.....................\......\...\L40.m
.....................\......\...\L40_step.m
.....................\......\...\L40_step_c.c
.....................\......\...\model_generate.m
.....................\......\...\model_getprmstruct.m
.....................\......\...\model_plotstate.m
.....................\......\...\model_setprm.m
.....................\......\...\model_step.m
.....................\......\L40p
.....................\......\....\generate_samples.m
.....................\......\....\L40p.m
.....................\......\....\L40p_step.m
.....................\......\....\model_generate.m
.....................\......\....\model_getprmstruct.m
.....................\......\....\model_plotstate.m
.....................\......\....\model_setprm.m
.....................\......\....\model_step.m
.....................\......\LA
.....................\......\..\LA_step.m
.....................\......\..\model_generate.m
.....................\......\..\model_getprmstruct.m
.....................\......\..\model_plotstate.m
.....................\......\..\model_setprm.m
.....................\......\..\model_step.m
.....................\......\..\htm" target=_blank>README
.....................\......\LA2
.....................\......\...\LA2_generate_sample.m
.....................\......\...\LA2_step.m
.....................\......\...\model_generate.m
.....................\......\...\model_getprmstruct.m
.....................\......\...\model_plotstate.m
.....................\......\...\model_setprm.m
.....................\......\...\model_step.m
.....................\......\QG
.....................\......\..\f90
.....................\......\..\...\calc.f90
.....................\......\..\...\data.f90
.....................\......\..\...\helmholtz.f90
.....................\......\..\...\Makefile
.....................\......\..\...\mexcmd.m
.....................\......\..\...\mexf90.f90
.....................\......\..\...\nfw.f90
.....................\......\..\...\parameters.f90
.....................\......\..\...\prm-ens.txt
.....................\......\..\...\prm.txt
.....................\......\..\...\qg.f90
.....................\......\..\...\qgflux.f90
.....................\......\..\...\qgplay.m
.....................\......\..\...\qgplot.m
.....................\......\..\...\qgread.m
.....................\......\..\...\qgstep.f90
.....................\......\..\...\qgstep_mex.f90
.....................\......\..\...\htm" target=_blank>README
.....................\......\..\...\utils.f90
.....................\......\..\model_generate.m
.....................\......\..\model_getprmstruct.m
.....................\......\..\model_plotstate.m

下载说明:请别用迅雷下载,失败请重下,重下不扣分!

发表评论

0 个回复

  • opflatestedition
    基于内点法的最优潮流计算,跟踪中心轨迹内点法最优潮流程序 实现了有功损耗最小的经济分配。(Optimal power flow calculation based on interior point method, the point-of-flight optimal power flow program in the tracking center trajectory achieves the economic distribution with the least active loss.)
    2020-12-22 21:59:06下载
    积分:1
  • Gaussin-Curve-Fitting-with-C
    采用最小二乘方法的高斯曲线拟合算法, 用C 语言编写. 包含子程序.(Gaussian Curving Fitting with C language)
    2021-04-14 18:18:55下载
    积分:1
  • matlab11
    1、 写出此两点边值问题的积分形式; 2、 构造有限元方程; 3、 编程计算显示计算结果。(1, write the two-point boundary value of the integral form 2, structural finite element equation 3, programming calculations show the results.)
    2008-04-13 19:35:36下载
    积分:1
  • juzhen
    复数矩阵的运算、包括乘、除、加、减、求逆等(Including all operations of the matrix)
    2017-07-22 14:21:04下载
    积分:1
  • gauss
    本程序实现利用高斯全选主元法解矩阵方程,即高斯-约旦法解方程(This program Gaussian Select the primary element method for solving matrix equation, that Gauss- Jordan method of solving equations)
    2012-10-08 09:16:36下载
    积分:1
  • 实验1
    说明:  利用不动点迭代和牛顿迭代求解非线性方程解的理论(Theory of Solving Nonlinear Equations by Fixed Point Iteration and Newton Iteration)
    2019-05-07 16:56:30下载
    积分:1
  • Euler_2D
    二维Euler方程的Jameson求解方法(Jameson solution of two-dimensional Euler equations)
    2020-09-09 21:18:03下载
    积分:1
  • matlab
    己知一些离散的点,使用matlab利用最小二乘法拟合(Had a number of discrete points, with linear least squares fitting)
    2013-10-14 15:05:47下载
    积分:1
  • yiyuanerci2
    说明:  用Fortran编程求解简单的一元二次方程案例(Solving quadratic equation of one variable)
    2020-06-16 12:28:32下载
    积分:1
  • CG
    说明:  共轭梯度法求解线性方程组,主要采用FR共轭梯度法(solve liner solutions from CG)
    2014-04-09 19:51:23下载
    积分:1
  • 696516资源总数
  • 106914会员总数
  • 0今日下载