about_Communication_Fundamentals_in_my_side

说明：  电离层的贝叶斯分类器，使用matlab编程开发，具有正确率高的优点(Ionosphere Bayesian classifier, using the matlab program development, the advantages with the correct rate)

matlab音乐合成，非常实用，信号与系统大作业(matlab)

用黄金分割法来求解函数的极小点，不用求函数的导数，只需进行迭代即可,非精确线搜索技术用于解决极值区间(Golden section method to solve the minimum point of the function, do not seek the derivative of a function, simply iteration can be inexact line search techniques for solving extremal interval)

产生一个长为1000的二进制随机序列，“0”的概率为0.8，”1”的概率为0.2； 对上述数据进行归零AMI编码，脉冲宽度为符号宽度的50 ，波形采样率为符号率的8倍，画出前20个符号对应的波形（同时给出前20位信源序列） 改用HDB3码，画出前20个符号对应的波形 改用密勒码，画出前20个符号对应的波形 分别对上述1000个符号的波形进行功率谱估计，画出功率谱 改变信源“0”的概率，观察AMI码的功率谱变化情况(A length of 1000 random binary sequence, and " 0" with a probability of 0.8, " 1" with a probability of 0.2 the AMI code above zero, the pulse width of the symbol width of 50 , the waveform sampling rate Symbol rate 8 times, draw the top 20 of the waveform corresponding to the symbol (the first 20 and gives the source sequence) switch HDB3 code, the first 20 to draw a waveform corresponding to the symbol to switch Miller code, the first 20 symbols correspond to draw The waveforms of the symbol of the waveform 1000 power spectrum estimation, shown to change the source power spectrum " 0" , the probability of observation of the power spectrum of AMI code changes)

基于C均值对数据进行聚类分析。数据基于网上的student里male和female数据，功能齐全(Based on C-means clustering analysis of the data. Data based on male and female student in data networks, fully functional)

Input: X, training data, dim*num Y, training data labels, num*class para.alpha, para.beta, regularization parameters para.rd, reduced dimensionality Web Image Annotation via Subspace-Sparsity Collaborated Feature Selection. Zhigang Ma, Feiping Nie, Yi Yang, Jasper Uijlings, and Nicu Sebe. IEEE Transactions on Multimedia (TMM) 14(4):1021-1030, 2012.

说明：  可以用于MATLAB基础学习以及基于MATLAB设计的其他软件的开发(MATLAB-based learning and can be used to design based on MATLAB and other software development)

说明：  时域有限差分法(FDTD)_原程序+样品输入数据(Finite difference time domain (FDTD) _ the original program+ sample input data)

Formant_tracker based on LPC Analysis format:[formants]=formant_tracker(input,dimension,step,window_size,p,threshold)

radar matlab simulation