Adaptive415

这是一个K中心点聚类算法C实现的,希望对大家有用(K this is a clustering algorithm C to achieve a focal point, and I hope useful for everyone)

matlab访问串口的程序，包括：打开、关闭和清除串口对象；读串口、写串口；串口的数据流控制；还包括：怎么用matlab发送手机短信的例程；这是学习matlab访问系统硬件的原理，不可多得的经典例程！(matlab serial port access procedures, including: open, close and clear the serial port object read serial port and write serial port serial data flow control also include: how to send SMS using matlab routine it is to learn the principle of the hardware to access the system matlab , rare classic routines!)

step function using matlab

100个matlab小程序，主要是一些基本的matlab程序(100 matlab small procedures, mainly some basic matlab program)

Reinforcement Learning 中以 Q learning 學習的倒單擺實驗。以x,x_dot,theta,theta_dot作為狀態參數 state，利用model模擬之結果做Q值更新，產生Q table，對學習平衡控制。結果以csv檔作為輸出，可以由使用者作圖觀察變化。(Reinforcement Learning , utilize Q learning for An inverted pendulum system control。x,x_dot,theta,theta_dot as state variable，use model result renew Q table，control learning of balance pole 。output csv file contain trail(times),balance time(sec).it s better observe the change if user plot it. )

是小学期课程设计的题目，ofdm系统仿真 含16qam调制 fft 加窗 加cp等模块，小波包分析提取振动信号中的特征频率。( Is the topic of the elementary school stage curriculum design, ofdm system simulation including 16qam modulation fft windowing modules plus cp, Wavelet packet analysis to extract vibration signal characteristic frequency.)

types of boilers and industrial used

说明：  香农第一定理指出了平均码长与信源之间的关系，同时也指出了可以通过编码使平均码长达到极限值，这是一个很重要的极限定理。(Shannon first theorem that the average yards long with the letter of the relationship between the source, it has also pointed out the code can make the average yards long reach limits, this is a very important Limit Theorem.)

matlab 文件，用于学习m文件，解释m文件的编写及用法(matlab documentation, for learning m paper explaining the preparation of the document m and usage)

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 )