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beta
直方图均衡化的另一种解法，不是用累加的方法得到的，是用分配灰度值空间的办法。(Histogram equalization another solution, instead of using the cumulative method is the use of the distribution of gray value space approach.)
- 2007-11-17 03:11:19下载
- 积分：1
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KFCMClust
采用模糊C均值对数据集data聚为cluster_n类(Fuzzy C mean data on the data sets together to cluster_n class)
- 2010-09-03 16:02:40下载
- 积分：1
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HEARTVI19
Sinusal Stimulation Of HEARTVI19 Simulink And Arrhythmias
- 2010-01-09 16:52:35下载
- 积分：1
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upf_demos
说明： ％ PURPOSE : Demonstrate the differences between the following filters on the same problem:
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％ 1) Extended Kalman Filter (EKF)
％ 2) Unscented Kalman Filter (UKF)
％ 3) Particle Filter (PF)
％ 4) PF with EKF proposal (PFEKF)
％ 5) PF with UKF proposal (PFUKF)( PURPOSE: Demonstrate the differences between the following filters on the same problem: 1) Extended Kalman Filter (EKF) 2) Unscented Kalman Filter (UKF) 3) Particle Filter (PF) 4) PF with EKF proposal ( PFEKF) 5) PF with UKF proposal (PFUKF))
- 2008-09-13 12:21:05下载
- 积分：1
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Matlab5---Eshelby-Tensor-in-Penny-Shape
Penny Shape case Smatrix for Eshelby Function in MicroMechanics
- 2014-11-10 01:16:52下载
- 积分：1
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emotion
Its a source code for different emotion created by using MATLAB 2013a enviornment
- 2014-11-25 00:32:04下载
- 积分：1
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Fresnel diffraction
给出不同情况下单缝菲涅尔衍射的光强分布图和灰度图(The intensity distribution and grayscale map of single Ja Faye Nel diffraction under different conditions are given.)
- 2018-01-15 18:13:20下载
- 积分：1
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capacity_plot
multiple input multiple output capacity
- 2011-06-21 23:43:13下载
- 积分：1
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lyapunov
混沌理论中很重要的拉亚普诺夫指数的，求解公式，例程可以直接打开运行(Chaos Theory in the very important layar普诺夫index, solving formula, routines can directly open the run)
- 2008-02-01 12:43:16下载
- 积分：1
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moving_average_v3.1
Smooths a matrix (with/without NaN s) via recursive moving average method and eliminates data gaps.
(MOVING_AVERAGE(X,F) smooths the vector data X with a boxcar window of size 2F+1, i.e., by means of averaging each element with the F elements at his right and the F elements at his left. The extreme elements are also averaged but with less data, obviously. Leaving the edges intact. The method is really fast.
MOVING_AVERAGE2(X,M,N) smooths the matrix X with a boxcar window of size (2M+1)x(2N+1), i.e., by means of averaging each element with its surrounding elements that fits in the mentioned box centered on it. This one is also really fast. The elements at the edges are averaged too, but the corners are left intact.
NANMOVING_AVERAGE(X,F) or NANMOVING_AVERAGE(X,F,1) accept NaN s elements in the vector X the latter interpolates also those NaN s elements surrounded by numeric elements.
NANMOVING_AVERAGE2(X,M,N) or NANMOVING_AVERAGE2(X,M,N,1) accept elements NaN s in the matrix X the latter interpolates also those NaN elements surrounded by numeric elements.)
- 2009-03-06 23:10:07下载
- 积分：1
