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kalman-alghrioms-matlab
则卡尔曼滤波的算法流程为： 1.计算预估计协方差矩阵2.计算卡尔曼增益矩阵3.更新估计4.计算更新后估计协防差矩阵(The Kalman filter algorithm processes as follows: 1. Calculate pre-estimate covariance matrix 2 calculate the Kalman gain matrix 3 updated estimate calculated after 4 update estimated defend difference matrix)
- 2014-10-18 08:47:27下载
- 积分：1
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kummer
这个函数估计到库默尔与第N系列的广义超几何微分方程解的权力。库默尔的差分方程为：
x *的克 （十）+（二- X）的*克 （ x）的- A *的为g（x）= 0
该代码只有4线长，利用Matlab的向量运算有权采取了第N广义超几何级数的权力的总和。(This function estimates the solution to kummer s differential equation with the first N powers of the generalized hypergeometric series. Kummer s differential equation is given by:
x*g (x)+ (b- x)*g (x)- a*g(x) = 0
The code is just 4 lines long, using the power of Matlab s vector operations to take the sum over the first N powers of the generalized hypergeometric series.)
- 2011-05-23 12:33:21下载
- 积分：1
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verlet
Verlet Velocity algorithm
- 2012-04-24 20:35:32下载
- 积分：1
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wavelet-analysis-for-imaging-
利用小波分析对图像进行二级分解和重构的Matlab代码，带有中文注释，包括哈尔小波、上/下采样子函数(Using wavelet analysis to the image of the secondary decomposition and reconstruction of the Matlab code, with Chinese translations, including the Haar wavelet, up/down sampling Functions)
- 2012-05-16 22:43:31下载
- 积分：1
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windpower
直驱风力发电并网模型，matlab仿真控制模型(wind power mppt)
- 2021-01-04 19:28:55下载
- 积分：1
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leefilter
极化SARlee滤波程序，对极化相干矩阵进行处理，也可以调整为普通图像(SARlee polarization filtering procedures to deal with polarization coherent matrix can also be adjusted to the general image)
- 2009-05-20 21:29:35下载
- 积分：1
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ADPBS
ADPBS ADAPTIVE PARTIAL BUFFER SHARING QUEUE
- 2012-06-02 07:46:16下载
- 积分：1
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LabVIEW-2013-examples
Some simple examples
- 2015-02-03 13:50:48下载
- 积分：1
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acquisition
说明： 基于半比特反转的GPS信号捕获。实现数据剥离，能够完成长时间的相关积分(GPS-based semi-Bit reversal signal acquisition. Data stripping, a long time to complete the relevant points)
- 2011-04-06 15:12:46下载
- 积分：1
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eigenfaces_sample
Eigenfaces is used to representing a face by projecting original images onto a face space defined by eigenvectors, and then a new face is compared to known faces by calculating the distance between their projections onto face space. (Eigenfaces is used to representing a face b y original projecting images onto a face space d efined by eigenvectors. and then a new face is compared to known faces by c alculating the distance between their project ions onto face space.)
- 2007-05-18 06:45:01下载
- 积分：1
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