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bagPSO
matlab 用PSO 解决背包问题 (matlab solve the knapsack problem with PSO)
- 2010-10-20 19:35:06下载
- 积分：1
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localequalizedpixelshift
This code applies local histogram equalization on an input image with a view to improve its contrast ratio. The image is read, converted to grayscale and resized with the inbuilt function of MATLAB. The window size may be changed, however, the window shift is pixel by pixel. The output is definitely a better contrast image as compared to the input but checkerboard effect is evident.
- 2010-12-29 06:06:07下载
- 积分：1
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PML-absorbing-boundary-code
使用PML吸收边界三维FDTD算法MATLAB代码(PML absorbing boundary using three-dimensional FDTD algorithm MATLAB code)
- 2013-08-06 11:01:09下载
- 积分：1
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Kalman_Filtering
卡尔曼滤波在目标跟踪中应用仿真研究。
子函数能完成对运动目标位置的卡尔曼滤波跟踪。
主函数针对一具体假设完成跟踪，并且完成蒙特卡罗仿真。
情景假定：有一两座标雷达对一平面上运动的目标进行观测，目标在 0-600秒沿x轴作恒速直线运动，运动速度为15米/秒，目标的起始点为(-10000米，2000米)。雷达扫描周期T=2秒，x和y独立地进行观测，观测噪声的标准差均为100米。(This program described the Kalman filter algorithm according to a given scenario, simulation achieved the target tracking observation data and Kalman filter results, and the experimental results is studied using the Monte Carlo simulation. )
- 2021-05-13 01:30:03下载
- 积分：1
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chap11
syms x
g=exp(x*sin(x))
t=taylor(g,12,2)
xd = 1:0.05:3 yd = subs(g,x,xd)
ezplot(t, [1,3]) hold on
plot(xd, yd, r-. )
title( Taylor approximation vs. actual function )
legend( Taylor , Function )(syms x g = exp (x* sin (x)) t = taylor (g, 12,2) xd = 1:0.05:3 yd = subs (g, x, xd) ezplot (t, [1 , 3]) hold on plot (xd, yd, ' r-.' ) title (' Taylor approximation vs. actual function' ) legend (' Taylor' , ' Function' ))
- 2011-07-27 18:12:56下载
- 积分：1
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LMS
removal of noise by using robust techniques
- 2011-08-06 20:36:35下载
- 积分：1
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Matlab-learning-courseware
matlab学习课件 还算比较详细 值得看看(matlab learning courseware still worth a look in more detail)
- 2011-10-14 22:20:59下载
- 积分：1
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TDOA
这个是关于TDOA的源程序，里面有7个文件，时间长了，也忘记都是干啥的，自己研究下(This is about the source of TDOA, which has seven files a long time, and forget are doing their own research under)
- 2021-04-23 22:18:47下载
- 积分：1
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MUSIC
求一个复正弦加白噪声随机过程的信号：
xn=exp(j*pi*n-j*pi)+exp(j*w0*n-j*0.7*pi)+v v(n)为零均值白噪声。S/N=10dB。取P=3，构造4阶的自相关矩阵R的基于MUSIC算法的功率谱估计的MATLAB程序(For a complex sinusoid plus white noise of the signal random process: xn = exp (j* pi* nj* pi)+ exp (j* w0* nj* 0.7* pi)+ v v (n) zero mean white noise. S/N = 10dB. Take P = 3, constructed of 4-order auto-correlation matrix R of the MUSIC algorithm based on power spectrum estimation procedure of MATLAB)
- 2009-05-17 16:00:12下载
- 积分：1
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base_plots_Merge_PCs
Principal Components Analysis (PCA) is used to compress data in such a way that the least information is lost. It does so by truncating data and thereby leaving out the data which is of the least importance to the information stored in the data. This PCA process is called dimensionality reduction,
- 2010-01-20 14:21:47下载
- 积分：1
