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kf
说明： 程序描述了电压为-0.377V的情况下，卡尔曼滤波器的输出。其中“+”为观测值。程序注解写的很清楚很容易看懂。(Procedure describes the voltage of-0.377V, the Kalman filter output. Which+ For the observed values. Notes written procedure is easy to understand very clearly.)
- 2008-04-23 17:05:01下载
- 积分：1
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109201255MSE_calculation
LMS: Least mean squares (LMS) algorithms is a type of adaptive filter used to mimic a desired filter by finding the filter coefficients that relate to producing the least mean squares of the error signal (difference between the desired and the actual signal)
- 2010-05-07 00:00:00下载
- 积分：1
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lfm
线性调频信号的雷达回波信号仿真，仿真了10个脉冲发射信号的回波信号。(The radar echo signal simulation of the linear FM signal，Simulation of the echo signal of the 10 pulse transmit signal.
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- 2012-05-12 11:28:40下载
- 积分：1
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cpso
基于matlab环境下的混沌粒子群优化算法源程序，用于求解多种优化（线性、非线性等）问题。(Optimization based on chaotic particle swarm algorithm source matlab environment, used to solve a variety of optimization (linear and nonlinear) problems.)
- 2016-05-11 16:51:52下载
- 积分：1
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OpnetUygulama
this is four opnet modelling language,
- 2010-12-10 21:48:39下载
- 积分：1
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pllddold
说明： 判决导向的载波恢复算法，在PAM调制方式下实现。(Decision directed carrier recovery algorithms to achieve in the PAM modulation.)
- 2011-03-30 10:00:18下载
- 积分：1
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Java
acr122u 示例代码
acr122u 示例代码
acr122u 示例代码(acr122u acr122u sample code sample code sample code acr122u)
- 2014-12-14 06:07:41下载
- 积分：1
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Gabor
Gabor transformer for image processing in matlab
signal processing
- 2014-02-16 17:11:43下载
- 积分：1
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HPF
说明： 借助MATLAB实现高通数字滤波器的设计(Using MATLAB to achieve high-pass digital filter design)
- 2009-08-23 16:29:16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
