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specxture
图像经过二维傅立叶频谱分析后，用此函数可以求取频谱的环向、楔向特征。在图像分析中具有较大用途。(After two-dimensional Fourier spectrum image analysis, this function can be used to strike a spectrum of the ring, to the characteristics of wedge. In the image analysis with a larger purpose.)
- 2021-03-02 15:49:34下载
- 积分：1
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FMdemod
FM demodulation matlab file
- 2010-03-13 19:11:26下载
- 积分：1
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qpsk-simulink
说明： 基于MATLAB的通信系统仿真 bpsk的仿真过程就是这样的
(MATLAB-based communications system simulation BPSK Simulation of the process is)
- 2006-04-18 11:05:39下载
- 积分：1
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eg1OC
最优控制教程，里面详述了不同最优控制方法的解决方法(Optimal control tutorial)
- 2012-07-12 23:29:35下载
- 积分：1
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2分集CDMA跳频通信子程序
说明： 二分集CDMA跳频通信子程序,计算2分集CDMA跳频通信系统的误码率(two set points CDMA frequency-hopping communications subroutine to calculate two set points Hopping CDMA communication system BER)
- 2005-11-16 10:07:09下载
- 积分：1
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matlabprogramforclassicalalgorithm
MATLAB 经典算法的程序，超大容量，绝对超值。用c or c plus plus 编写。(MATLAB classical algorithm procedures, large capacity, the absolute value.)
- 2009-11-12 21:25:46下载
- 积分：1
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BP.m
在工程应用中 经常会遇到一些复杂的非线性系统, 这些系统状态方程复杂, 难以 用数学方
法准确建模。 在这种情况下, 可以 建立 BP 神 经网 络表达这些 非 线 性系 统。 该方法把未 知 系
统看成是一个黑箱, 首先用 系 统 输入输出 数据 训 练 BP 神 经网 络, 使网 络能 够表达该未 知 函
数, 然后就可以 用训练好的 BP 神经网络预测系统输出 。
本章拟合的非线性函 数为
y = x1^2+x2^2.
。
(In engineering applications often encounter some complex nonlinear systems, which complicated the equation of state, can not be accurately modeled mathematically. In this case, BP neural network can be established to express these nonlinear systems. The method of the unknown system as a black box, the first input and output data with systematic training BP neural network, the network can express the unknown function, then you can use the trained BP neural network forecasting system output. Chapter for fitting non-linear function y = x1 ^ 2+x2 ^ 2..)
- 2014-12-13 21:39:55下载
- 积分：1
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yuanma
金融数量分析：基于MATLAB编程第二版一书中自带源码，分享给大家(Financial quantitative analysis _ all source-based MATLAB programming second edition)
- 2013-11-24 22:57:11下载
- 积分：1
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leach
leach code for wireless sensor network
- 2015-02-06 12:12:12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
