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game
扫雷 mine sweeping
方向键可以改变当前位置，按"="键或者"end"键相当于windows
下的双击作用，按空格键标记雷的位置。(A mine sweeping game by matlab code.)
- 2009-11-14 00:46:11下载
- 积分：1
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huiseguanlian
用于灰色关联系数和灰色关联度的计算，其中进行了初值化和归一化处理。(Correlation coefficient for the gray and gray correlation calculation, which carried out the initial value of and normalized.)
- 2009-12-10 11:54:23下载
- 积分：1
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zuidasiranguji_matlab
基于MATLAB的模式识别的参数估计的最大似然估计，处理水环境分类问题，共分为5类，最后利用贝叶斯决策得出五类总的识别率。
(Maximum likelihood estimation of parameters of pattern recognition of MATLAB estimation based on classification of water environment treatment problem, is divided into 5 categories, the last use of Bayesian decision obtained five types of the total recognition rate.
)
- 2014-11-12 10:17:06下载
- 积分：1
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tumgmszk
对信号进行频谱分析及滤波，车牌识别定位程序的部分功能，利用贝叶斯原理估计混合logit模型的参数，脉冲响应的相关分析算法并检验，用于特征降维，特征融合，相关分析等,有较好的参考价值，有CDF三角函数曲线/三维曲线图，数值分析的EULER法。( The signal spectral analysis and filtering, Part of the license plate recognition locator feature, Bayesian parameter estimation principle mixed logit model, Related impulse response analysis algorithm and inspection, For feature reduction, feature fusion, correlation analysis, There are good reference value, There CDF trigonometric curve/3D graphs, EULER numerical analysis method.)
- 2020-07-04 17:00:01下载
- 积分：1
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ip_07_07
基于matlab的4PSK的数字解调仿真(the 4-PSK demodulation using matlab)
- 2009-05-11 13:24:44下载
- 积分：1
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TMzwithdifferentPMLs
TM波的FDTD计算 使用不同的吸收边界条件(TM-wave FDTD calculations using different absorbing boundary conditions)
- 2009-12-28 19:02:14下载
- 积分：1
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2plot
关于matlab的编程，主要是plot绘图方面的，请查收！(Matlab programming on the main plot mapping, please check!)
- 2008-06-18 10:40:52下载
- 积分：1
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JPDAF.tar
joint probabilistic data association with matlab
- 2013-01-25 12:38:10下载
- 积分：1
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Kramer2
image processing and matlab application
- 2013-12-24 22:53:03下载
- 积分：1
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fit_ML_rayleigh
fit_ML_rayleigh - Maximum Likelihood fit of the rayleigh distribution of i.i.d. samples!.
Given the samples of a rayleigh distribution, the PDF parameter is found
fits data to the probability of the form:
p(r)=r*exp(-r^2/(2*s))/s
with parameter: s
format: result = fit_ML_rayleigh( x,hAx )
input: x - vector, samples with rayleigh distribution to be parameterized
hAx - handle of an axis, on which the fitted distribution is plotted
if h is given empty, a figure is created.
output: result - structure with the fields
s - fitted parameter
CRB - Cram?r-Rao Bound for the estimator value
RMS - RMS error of the estimation
type- ML
- 2011-02-09 19:10:54下载
- 积分：1
