sunbun_v62

应用MATLAB实现连续信号的采样与重构仿真(Application of MATLAB to achieve continuous signal sampling and reconstruction of simulation)

This code has been used and seems to be free of error. However, it carries no explicit or implicit guarantee.

提取某合成信号的三个频率成分，设计相应的滤波器，matlab源程序(Extract the three components of a mixed signal via a lowpass,bandpass and highpass filter.)

自己搭的电力系统四机两区模型，用于FACT装置协调控制仿真。(Take power system engine two zone model, simulation of coordination control for FACT device. )

说明：  ex9_1 脉冲信号调制 ex9_2 载波10MHz，带宽2MHz的线性调频信号及其频谱图 ex9_3 产生7位巴克码编码的二相码 ex9_4 产生7位巴克码和线性调频的混合调制信号 ex9_5 瑞利分布实现程序 ex9_6 瑞利分布＋杂波 ex9_7 相关对数正态分布杂波 ex9_8 相关weibull分布杂波 ex9_9 相干相关K分布杂波 ex9_10 线性调频信号的数字化正交解调 ex9_11 雷达脉冲压缩处理 ex9_12 二相编码信号的脉压处理 ex9_13 用FFT和FIR方法实现MTD处理(程序有错误) ex9_14 雷达的恒虚警处理（CFAR） ex9_15 比较相参积累和非相参积累 ex9_14 计算加性高斯白噪声准则下雷达探测的经典CFAR 二进制检测阈值和指定的虚警概率。 (瑞利噪声下快慢门限CFAR处理)(Ex9_1 pulse signal modulates ex9_2 carrier 10MHz, Linear Frequency Modulation signal of bandwidth 2MHz and its Spectrum Diagram ex9_14 calculation of classical CFAR under additive Gaussian white noise criterion Binary detection threshold and specified false alarm probability. (fast and slow threshold CFAR processing under Riley noise))

此文档介绍在matlab上识别和处理gps数据格式rinex的新方法，对于正在做这方面毕业设计的同学有帮助，也可成为研究者的参考(The document is introduced in the matlab recognition and processing GPS data format rinex new method, are doing this for the graduation design of the students having help, also can become the researchers reference )

打开.dat文件，计算牵引网馈线电流的基本参数并进行β，对数和瑞丽概率分布的拟合(Open. Dat files to calculate the basic parameters of traction network of feeder current and β,Logarithmic and Ruili distribution probability distribution fitting.)

Non-linear control system application

烟花算法程序，人工智能算法，用于各种优化问题(Fireworks Algorithmic Program, Artificial Intelligence Algorithms, Used for Various Optimization Problems)

This technique doesn t involve sorting of probabilities as in Shannon-Fano coding. The following formula is used to calculate F (x) which in turn generates the code F (x) = F(x) + p(x) / 2, where F(x) is cummulative sum of probabilities p(x). It can be further understood with the following C code