DFTaIDFT

we create uniform network using matlab

用曲线拟合的方式估计线性调频信号的初始频率及其调频斜率。得到的效果比较好。(Curve fitting way to estimate the initial frequency and chirp rate of the linear FM signal. Get better.)

说明：  利用MATLAB初步实现车牌的截取以及字符识别.实验报告中包含有思路的详解与分析以及源代码.(Using MATLAB to recognize the car license. The report contains the process of thinking and analysis, as well as source code.)

说明：  复杂网络博士论文:复杂网络的演化机制及若干动力学行为研究(Evolution meehanism and some dynamical Proeesses on complex network )

说明：  求长周期光纤的芯层有效折射率 要求输入芯层直径，包层直径等常数(Seeking long-period fiber effective refractive index core layer Asked to enter core layer diameter, cladding diameter constant)

采用eigen value来模拟各种衰落信道的源码程序，可以仿真瑞利衰落和AWGN叠加等等的情况。有详细注释。(Eigen value used to simulate a variety of fading channel the source program, you can simulation superimposed Rayleigh fading and AWGN and so on. Has detailed notes.)

bean recog -gui red , green and black color only M file

MUSIC算法DO模拟2个独立窄带信号入射到均匀线阵上，信号间互不相关，与噪声相互独立，噪声为理想高斯白噪声，阵列的阵元数为10，快拍数为200。阵元间距为入射信号波长的1／2，信噪比为20dB，信号入射角度差分别为5°，10°，20°。(DO MUSIC algorithm simulate two independent narrowband signals incident on the ULA, among signal unrelated, independent noise, the noise is ideal Gaussian white noise, the number of array elements of the array is 10, the number of snapshots to 200. Element spacing is 1/2 of the wavelength of the incident signal, SNR is 20dB, the signal difference between the angle of incidence was 5 °, 10 °, 20 °.)

机器学习中的垃圾邮件分类程序，用matlab做的。从以下链接下载垃圾邮件数据（spam data）：(数据已下载，放在spambase.zip) http://www-stat.stanford.edu/~tibs/ElemStatLearn/index.html 该数据包含57个邮件信息相关的变量，每条邮件可以被分类为垃圾邮件（Y=1）和非垃圾邮件（Y=0）。输出Y的值在文件中每一列的末尾。练习的目标是要预测电子邮件是否为垃圾邮件。 (Machine Learning spam classification procedures, using matlab to do. Data (spam data) from the following link to download the junk mail: (data has been downloaded, put spambase.zip) http://www-stat.stanford.edu/ ~ tibs/ElemStatLearn/index.html The data includes 57 e-mail messages related variables, each message can be classified as spam (Y = 1) and non-spam (Y = 0). Y value of the output end of each column in the file. The goal is to predict exercise email is spam.)

利用改进的蚁群算法，寻找最优路径，优化了算法运行时间(The use of improved ant colony algorithm to find the optimal path optimization algorithm running time)