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8FSK
8FSK系统，波形生成，相干解调，非相干解调等(8FSK systems, waveform generation, coherent detection, non-coherent demodulation, etc.)
- 2021-05-13 09:30:03下载
- 积分：1
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ex_conv_1D_Tikhonov
some example of regularization tools in matlab
- 2010-11-30 13:44:25下载
- 积分：1
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chby-11
matlab program of cebshew-1 filters
- 2012-03-23 11:55:11下载
- 积分：1
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fuzzyDTC
设计采用模糊控制的直接转矩控制，和传统PI调节器相比较(Design of fuzzy control of direct torque control, and compared to the traditional PI regulator)
- 2011-06-07 08:53:43下载
- 积分：1
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breaker
his example illustrates the Ideal Switching device solution method of the Powergui block
- 2011-06-22 05:21:15下载
- 积分：1
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projectivegemotriy
射影几何的经典书籍，是学习摄像机标定和自标定必须掌握的理论基础(Projective geometry of the classic book, is to learn camera calibration and self-calibration must master the theoretical basis)
- 2010-07-12 16:02:06下载
- 积分：1
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ddd
基于一维自主神经网络的图像融合，lena图像融合(One-dimensional autonomous neural network-based image fusion, lena image fusion)
- 2012-05-27 16:24:08下载
- 积分：1
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Minimum-Risk-Bayes-classifier
这是模式识别中最小风险Bayes分类器的设计方案。在参考例程的情况下，自行完善了在一定先验概率的条件下，男、女错误率和总错误率的统计，放入各个数组当中。
全部程序由主函数、最大似然估计求取概率密度子函数、最小错误率贝叶斯分类器决策子函数三块组成。
调用最大似然估计求取概率密度子函数时，第一步获取样本数据，存储为矩阵；第二步对矩阵的每一行求和，并除以样本总数N，得到平均值向量；第三步是应用公式（3-43）采用矩阵运算和循环控制语句，求得协方差矩阵；第四步通过协方差矩阵求得方差和相关系数，从而得到概率密度函数。
调用最小风险贝叶斯分类器决策子函数时，根据先验概率，再根据自行给出的5*5的决策表，通过比较概率大小判断一个体重身高二维向量代表的人是男是女，放入决策数组中。
主函数第一步打开“MAIL.TXT”和“FEMALE.TXT”文件，并调用最大似然估计求取概率密度子函数，对分类器进行训练。第二步打开“test2.txt”，调用最小风险贝叶斯分类器决策子函数，然后再将数组中逐一与已知性别的数据比较，就可以得到在一定先验概率条件下，决策表中不同决策的错误率的统计。
(This is a pattern recognition classifier minimum risk Bayes design .In reference to the case of routine , self- improvement in a certain a priori probability conditions, male , female and total error rate error rate statistics , into which each array .
All programs from the main function , maximum likelihood estimation subroutine strike probability density , the minimum error rate Bayesian classifier composed of decision-making three subfunctions .
Strike called maximum likelihood estimate probability density subroutine , the first step to obtain the sample data , stored as a matrix the second step of the matrix, each row sum , and divided by the total number of samples N, be the average vector The third step is the application of the formula ( 3-43 ) using matrix and loop control statements , obtain the covariance matrix fourth step through the variance-covariance matrix and correlation coefficient obtained , resulting in the probability density function .
Bayesian classifier )
- 2012-02-02 20:37:04下载
- 积分：1
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ZLY
一种自适应的均值滤波代码，加入了自适应的阈值T(An adaptive mean filtering code, adding the adaptive threshold T)
- 2013-05-27 02:14:12下载
- 积分：1
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source_number_detection_radii
source number detection radii
- 2010-06-15 17:51:20下载
- 积分：1
