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lizi
卡尔曼滤波 扩展卡尔曼滤波 以及经典粒子滤波(the source code of PF&EKF&KF)
- 2020-10-15 00:07:30下载
- 积分：1
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Dimensional-code-codec-source-code
二维码编码解码器源码，可以实现扫描二维码，使用很方便(Dimensional code codec source code, you can achieve scan two-dimensional code, very easy to use)
- 2013-11-18 21:58:08下载
- 积分：1
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MATLAB_Program
偏微分图像处理MATLAB程序 (包括水平集插值等插值方法）(MATLAB partial differential image processing programs (including the level set interpolation interpolation methods))
- 2015-11-25 10:32:35下载
- 积分：1
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SoundSim_2p5D_AcousticBeta
说明： 2.5D弹性波波场模拟matlab程序 弹性波波场模拟matlab程序，是一个可以模拟波场传播切片的动态模拟过程。(2.5D simulation of elastic wave field simulation of elastic wave field program matlab matlab program can simulate the wave field is spread a slice of the dynamic simulation process.)
- 2011-03-02 14:06:48下载
- 积分：1
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SNR_cmp
用matalab实现一个简单的输入语音的整体信噪比和部分信噪比的比较(Matalab implemented using a simple input speech and the portion of the overall signal to noise ratio SNR comparison)
- 2013-11-13 22:19:02下载
- 积分：1
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anodepressurePID-
质子交换膜燃料电池阳极PID控制.m文件，改模型在matlab下建立的,可以直接使用或者更改(fuel cell anode mode)
- 2017-04-06 21:32:32下载
- 积分：1
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myKalman
卡尔曼滤波器matlab源代码。 function [Y,PY,KC]=myKalman(x,A,B,Q,H,R,y0,P0) 这是我课程设计时做的。(Source code of kalman filter using matlab. function [Y,PY,KC]=myKalman(x,A,B,Q,H,R,y0,P0) This is made by me for my course design。)
- 2005-08-04 18:14:33下载
- 积分：1
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Proj7Presentation
EQ design in matlab
and presentation
- 2010-02-21 18:52:12下载
- 积分：1
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ModulationDemodulationPAM
matlab code modem PAM
- 2009-07-11 22:46:14下载
- 积分：1
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Minimum-Bayes-classifier-error-rate
这是模式识别中最小错误率Bayes分类器设计方案。
自行完善了在不同先验概率的条件下，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。
调用最小错误率贝叶斯分类器决策子函数时，根据先验概率数组，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。
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”，调用最小错误率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，就可以得到不同先验概率条件下错误率的统计。
(This is the minimum error rate pattern recognition Bayes classifier design.
Self- improvement prior probability in different 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 third step is to 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 .
Call the minimum error rate decision Functions Bayesian)
- 2012-02-02 20:33:06下载
- 积分：1
