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matlabbook
很经典的matlab课件，全面介绍了matlab内容，适合初学者(Very classic matlab courseware, comprehensive introduction to matlab content, suitable for beginners)
- 2007-10-18 11:26:51下载
- 积分：1
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ISAR
对散射点模型飞机进行参数类运动补偿，进行成像，并对成像结果做CFAR检测。(The parameter class motion compensation of the scattering point model aircraft is carried out, and the imaging results are detected by CFAR.)
- 2017-10-30 21:48:14下载
- 积分：1
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Brushless-DC-motor-
无刷直流电机 伺服控制系统仿真 精华,对转向器等方面有用(The brushless DC motor servo control system simulation the essence of the steering gear and other useful)
- 2012-06-23 12:53:51下载
- 积分：1
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Adaboost_matlab
adaboost算法的matlab程序，随机生成正负样本，用adaboost进行分类(adaboost algorithm matlab program randomly generates positive and negative samples adaboost classification)
- 2012-09-01 16:35:19下载
- 积分：1
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T-S模糊控制
clear;close all;
%----------------设定计算步数和精度----------------%
step=1000; %步数
err=0.00001; %精度
eps1=0.001;
%----------------数据生成----------------%
k0=0:step+1;
%u=sin(2*pi.*k0/step*10);
u=rand(1,step+2)*2-1;
y=zeros(1,step+2);
y(1)=0;
y(2)=0;
for t=1:step
y(t+2)=y(t+1)*y(t)*(y(t+1)-2.5)/(1+y(t+1)*y(t+1)+y(t)*y(t))+u(t+1);
end
%----------------绘制输入及输出信号波形----------------%
figure(1);
plot(y(3:step+2),"r");
hold;
plot(u(2:step+1),"g");%pause
legend("输出y","输入u");
%----------------初始化隶属函数----------------%
c=[-4,-3,-2,-1,0,1];
U=zeros(6,step+2);
for t=1:step+2
if(y(t)
- 2022-09-28 16:45:03下载
- 积分：1
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amd
matlab程序语言，三自由度模型对象，主动控制，lqr算法，求解位移与速度(the matlab programming languages, three degrees of freedom model objects, active control, lqr algorithm solving the displacement and velocity)
- 2013-01-04 11:15:33下载
- 积分：1
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--4层--db4--20db--
小波阈值去噪，小波变换是一种信号的时间——尺度（时间——频率）分析方法，它具有多分辨分析的特点，而且在时频两域都具有表征信号局部特征的能力(Wavelet threshold denoising)
- 2017-11-06 19:14:38下载
- 积分：1
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shiyan.rar
shiyanbaogao dajia manman de zhuanxin de kankan ba xiwangduidajia youhaochu xiexie (shiyan)
- 2009-05-17 18:08:19下载
- 积分：1
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st
说明： matlab编的时频分析的小程序，可用于各种信号的时频分析(matlab series of time-frequency analysis procedures can be used for a variety of signal time-frequency analysis)
- 2012-09-06 10:08:22下载
- 积分：1
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gender-classification-experiments
这是用身高体重数据进行性别分类的实验。
用最小错误率贝叶斯分类器决策时，首先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，然后再逐一与已知性别的数据比较，就可以得到错误率的统计。然后改变先验概率，重复上面的过程，观察数据结果的变化。
用最小风险贝叶斯分类器决策时，首先求出用最小错误率贝叶斯分类器得到的条件概率；然后根据人为给定的决策表，根据公式算出条件风险；然后逐一比较条件风险，找出使条件风险最小的决策（也就是分类）。最后用分类得到的结果逐一比较已经知道的原始数据，统计处错误率。
(This is the height and weight data for gender classification experiment.
With the minimum error rate Bayesian classifier decisions , first by comparing the probability of the size and weight to height to determine a person represented by two-dimensional vector is male or female , and then one by one with known gender data comparison, the statistical error rate can be . Then change the prior probability , repeat the above process , the results of the changes observed data .
Bayesian classifier with the minimum risk decision-making , first find the minimum error rate using Bayesian classifier to get the conditional probability then artificially given decision table , according to the formula to calculate conditional risk and then one by one more conditional risk , to find ambassador to the conditions of minimum risk decision making (ie classification) . Finally, the results obtained with the classification by-side comparison of the raw data have been aware of SD error rate .
)
- 2012-02-02 20:40:46下载
- 积分：1
