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myKalman
卡尔曼滤波器matlab源代码。 function [Y,PY,KC]=myKalman(x,A,B,Q,H,R,y0,P0) 这是我课程设计时做的。(Source code of kalman filter using matlab. function [Y,PY,KC]=myKalman(x,A,B,Q,H,R,y0,P0) This is made by me for my course design。)
- 2005-08-04 18:14:33下载
- 积分：1
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mean_shift
说明： MeanShift算法在运动人体跟踪MATLAB代码(MeanShift algorithm in MATLAB code tracking of moving body)
- 2010-04-02 16:51:24下载
- 积分：1
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ansys_singlephase_spim
ansys 单相感应电机的静磁场分析，非常有价值，初学者的好例子(ansys single-phase induction motor analysis of the static magnetic field, very valuable, a good example of beginners)
- 2007-06-22 15:32:35下载
- 积分：1
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star
Star, rhombus in neatbeans.
- 2014-11-14 12:06:53下载
- 积分：1
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read_vrml
一个Matlab程序，用它可以读取WRL文件的源码，并且可以显示(A Matlab program, using it can be read by the WRL document source, and can show)
- 2020-07-22 14:58:45下载
- 积分：1
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knn
在网站上下的一个MATLABknn分类程序(dfjaklsdjflkasd
buhui)
- 2010-05-10 09:28:18下载
- 积分：1
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Newmark
newmark方法求解非线性振动duffing方程(newmark method for solving nonlinear vibration duffing equations)
- 2013-11-09 18:41:35下载
- 积分：1
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baizaosheng
本程序能实现基于小波模极大值算法去除高斯白噪声。效果显著(This procedure can achieve based on wavelet modulus maxima method to remove Gaussian white noise. Remarkably)
- 2009-11-09 16:34:38下载
- 积分：1
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ecgFilters
filters signals EKG to detect qrs complex
- 2009-12-04 08:33:27下载
- 积分：1
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cor_ls
把辨识分成两步进行：第一步：利用相关分析法获得对象的非参数模型（脉冲响应或相关函数）；第二步：利用最小二乘法、辅助变量法或增广最小二乘法等，进一步求的对象的参数模型。如果模型噪声与输入无关，则Cor-ls相关最小二乘法（二步法）可以得到较好的辨识结果。Cor-ls相关最小二乘法（二步法）实质上是先对数据进行一次相关分析，滤除了有色噪声的影响，再利用最小二乘法必然就会改善辨识结果。能适应较宽广的噪声范围，计算量不大，初始值对辨识结果影响较小。但要求输入信号与噪声不相关(The identification is divided into two steps: the first step: using the correlation analysis method for object nonparametric model (impulse response or related function) The second step: using the least squares method, auxiliary variable method or augmented least squares method and so on, further for the parameters of the object model. If the model input noise and independent, the Cor- ls related least squares (two footwork) can get good recognition results. Cor- ls related least squares (two footwork) is essentially the data to a correlation analysis, filter in addition to the influence of colored noise, using least squares inevitable will improve the identification result. To adapt to a wide range of noise and calculation is not big, the initial value to identification results less effect. But for the input signal and noise are not related)
- 2012-12-28 16:13:22下载
- 积分：1
