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Kalman_matlab
卡尔曼滤波比较简单的代码和相关文章！对于初学者还是比较有用的(Kalman filtering relatively simple code and related articles! It is quite useful for beginners)
- 2010-02-01 23:00:43下载
- 积分：1
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wavelet
说明： 二维图像加噪声，通过小波变换分解，压缩，实现图像重构(Two-dimensional image plus noise, through the Wavelet decomposition, compression, Image reconstruction)
- 2011-03-21 12:45:44下载
- 积分：1
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kalman-filter
介绍了卡尔曼滤波器的原理，附带了卡尔曼滤波器的m程序(Introduced the principle of the Kalman filter, Kalman filter with a program of m)
- 2011-10-29 15:37:37下载
- 积分：1
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MATLABtargettracking
用matlab编程实现的视频目标跟踪仿真的小程序。希望对大家有帮助。(Video target tracking matlab simulation)
- 2013-04-03 21:47:36下载
- 积分：1
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matlab
基于matlab的低通有源滤波器设计wp=30hz，ws=40hz，rp=0.5，rs=40，fs=100hz.
(Matlab-based low-pass active filter design wp = 30hz, ws = 40hz, rp = 0.5, rs = 40, fs = 100hz.)
- 2013-11-02 13:22:51下载
- 积分：1
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MATLABSimulink
《MATLAB/Simulink电力系统建模与仿真》是电力系统分析MATLAB/Simulink仿真全部资料，资料内容全(The MATLAB/Simulink, the modeling and simulation of power system is all power system analysis of MATLAB/Simulink simulation data, the data content)
- 2021-01-13 00:48:48下载
- 积分：1
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matlab-pca
matlab 主成分分析法程序，以目标威胁度评估为例(matlab principal component analysis procedures in order to target the threat assessment as an example)
- 2020-10-29 20:19:56下载
- 积分：1
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frcg
使用FR共轭梯度法求解无约束问题
输入包括初始点，目标函数和梯度
输出包括最优点和最优解，还有迭代次数(Use FR conjugate gradient method for solving unconstrained problems including initial entry points, the objective function and the gradient of the output, including the advantages and the most optimal solution, as well as the number of iterations)
- 2020-12-14 08:59:14下载
- 积分：1
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Matlab
MATLAB线性优化问题MATLAB线性优化应用 实例1：生产计划问题 实例2：投资问题 实例3：运输问题(MATLAB linear optimization applications Example 1: production planning problem Example 2: Investment Example 3: transport
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- 2011-12-25 20:56:04下载
- 积分：1
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ukf
无迹卡尔曼滤波UKF是重要的非线性滤波方法。它采用UT变换的方法，不再近似系统的非线性方程，它仍然用高斯随机变量表示状态分布，不过是用特定选择的样本点加以描述，每个点叫一个高斯点，它从系统状态的概率密度函数中取出；然后，按系统的真实模型演化，得到非线性演化后的σ点，使得样本均值和样本方差是真实均值和真实方差的好的近似。
在这个程序中，实现了基于UKF的滤波方法，并且建立了两种仿真环境进行实验。(Unscented Kalman filter UKF is an important nonlinear filtering method. It uses the UT transformation method, no similar system of nonlinear equations, it still says the state with the Gaussian distribution of random variables, but the specific choice is to describe the sample points, each point is called a Gaussian point, it is from probability density function of the system state to remove then, according to the true model of evolution of the system obtained after the nonlinear evolution of σ point, making the sample mean and sample variance is true variance of the mean and the true good approximation.
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- 2011-05-24 17:09:14下载
- 积分：1
