spectrum-analyzer

一个GPS课程的全部代码，含有数据！很实用(MATLAB GPS SCRIPTS-- Charles Meertens and Doug Miller, U. Utah 3Jan95 These scripts were developed for/during a class in GPS and Active Tectonics Department of Geology and Geophysics, U. Utah, Spring, 1994 EXAMPLE RINEX Files (the only ones guaranteed to work this release) CUR10911.94N CUR10911.94O PAR10910.94N PAR10910.94O Main Program scripts: gpshora.m -- function to calculate Modified Julian Day, Homework#1 HW2.m -- Homework#2 read RINEX observation file and plot C/A code vrs. time HW3_plt.m-- Homework#3 read RINEX navigation file, plot satellite positions HW3_3dplt.m-- Same as HW3_plt.m, but 3d position plots HW4.m-- Homework#4 calculate and plot station position as function of time Functions called: calc_nav.m-- calculate satellite position calc_pos1.m-- calculate station position constants.m-- GPS constants coords.m-- convert x,y,z coordinates to lat, long, height date2j.m-- calculate MDJ eccenr.m-- calculate "E" anomally read_nav.m-- Read RINEX Nav file r)

说明：  关于层次分析的MATLAB源程序，对数学建模求解层次分析问题特别有用。(MATLAB-level analysis on the source of mathematical modeling to solve the issue of the level of analysis particularly useful.)

Matlab写的fisher 分类器,很简单适合初学者，体验机器学习的过程(Fisher Linear Discriminant Analysis in Matlab。It fit the people who learning the Machine Learning at first time.)

著名混沌研究人员许小可的mex的matlab程序，很有参考价值(Hsu Hsiao Ke-known researchers in the chaos of the matlab mex procedure was useful)

UFMC的框架代码程序，可以提供研究UFMC的朋友参考。(The framework of UFMC.)

说明：  支持向量机，一类按监督学习方式对数据进行二元分类的广义线性分类器(Support Vector Machine, a generalized linear classifier for binary classification of data by supervised learning)

this is code for matlab for modulation

MATLAB应用技术，清华大学出版社，王忠礼 段慧达 高玉峰编著 (MATLAB Application Technology, Tsinghua University Press, Wang Zhongli Duan Hui Da Gao Yufeng ed)

用matlab演奏歌曲‘传奇’，效果比其他几首歌要好很多.(Using matlab to play the song ' Legend' , the effect is much better than the other songs.)

This function uses eigenfunction analysis to solve the matrix differential equation m*y (t)+c*y (t)+k*y(t)=f1*cos(w*t)+f2*sin(w*t) with initial conditions of y(0)=y0, y (0)=v0