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pcnnimwrite
去除脉冲噪声：中值滤波，均值滤波，PCNN滤波的比较，包括计算噪声图像的信噪比，matlab算法程序。(Remove impulse noise: median filter, mean filter, PCNN filter comparison, including the calculation of noise, the SNR, matlab algorithm program.)
- 2010-06-07 16:15:56下载
- 积分：1
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Bresenham_Line
适用于所有象限的通用Bresenham画线算法的Matlab程序(Apply to all quadrants of the General Bresenham line drawing algorithm Matlab procedures)
- 2009-04-19 22:27:27下载
- 积分：1
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CuttingForce_etc
This upload files are composed of 5 examples.
1. Static force simulation for flat endmill
2. Dynamic force simulation for flat endmill
3. Optimisation problem
4. One dimensional wave simulation of a string
5. Stability lobe diagram for milling
- 2014-09-12 16:09:32下载
- 积分：1
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elevenleveldiode
matlab simulink model for a eleven level diode clamped inverter
- 2015-02-15 18:41:02下载
- 积分：1
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matlab-ego-motion
基于matlab实现的自身运动估计仿真程序。通过对视频图像的分析，快速估计摄像机自身的运动状态。(Estimate based simulation program matlab realize their movement. Through the analysis of video images, the camera quickly estimate its state of motion.)
- 2014-09-26 19:43:20下载
- 积分：1
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FDTD_TM_PC
a photonic crystal waveguide matlab code
- 2010-06-11 10:06:37下载
- 积分：1
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Pd_Pfa
在检测与估计中 仿真给出检查概率与虚警概率的关系 Pfa=1-Q(z),Pd=1-Q(z-d),画不同d情况下Pfa与Pd的关系图(In the detection and estimation of simulation shows that the relationship between the check probability and false alarm probability Pfa = 1-Q (z), Pd = 1-Q (zd), PFA and Pd diagram Videos d case)
- 2021-03-31 23:09:08下载
- 积分：1
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kalman-lb_zsy
由于Kalman 滤波算法将被估计的信号看作在白噪声作用下——个随机线性系统的输出， 并且其输入输出关系是由状态方程和输出方程在时间域内给出的， 因此这种滤波方法(Because of Kalman filtering algorithm will be estimated as the signal in white noise-a random under the action of linear systems, and its output input and output relationship is by the state equation and output equation in time domain are within the, so the filtering method
)
- 2011-10-08 21:13:14下载
- 积分：1
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houghcircle
Edge detection result should be enhanced using linear method like Median filter to
remove the garbage around the pupil to gain clear pupil to determine perfect centre. Get the
centre of the pupil by counting the number of black pixels (zero value) of each column and
row. Then get each row and column that has the maximum number of these black pixels.
Then determine the center by simple calculation according to the image coordinate to set it
correct on the image, consequently we can determine the radius of the pupil. Thus we can find
the pupillary boundary (inner). A similar procedure is extended by using a coarse scale to
locate the outer boundary (limbus) which can be apparent by using the mid-point algorithms
of circle and ellipse.
- 2011-11-18 02:09:58下载
- 积分：1
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PhysModMatlab
phsical mpdelling matlab
- 2013-11-29 10:42:17下载
- 积分：1
