Phase-Locked-Loop-PLL-lecturer

一般KF和UDUKF的比较源程序代码，运行文件夹中的result.m文件。(General comparison of KF and UDUKF source code, run the file in a folder result.m file.)

混沌时间序列预测工具箱，包括了李雅普诺夫指数、分形纬、嵌入纬以及神经网络预测(chaotic time series forecasting tool kit, including the Lyapunov exponent, fractal-wai, Wei and embedded neural network prediction)

Matlab的积分内容，举例说明了积分的应用，还有怎么解决Matlab中内容复制到Word等时出现乱码的问题(Matlab integration content, illustrates the application of integration, as well as how to solve Matlab, copy the contents to Word and other problems when garbled)

ＴＥ波和TM波照射到二维导体柱上带你电流分布，各个方向的RCS以及总的ＲＣＳ随导体尺寸的变化(TE wave and TM wave illumination column take you to the two-dimensional conductor current distribution, in all directions of the RCS and the RCS with the total change of conductor size)

pcm编码,基础通信编程通信原理应用，基于通信原理的matlab pcm编码应用(PCM coding, basic communication programming communication theory applications, based on communication theory matlab pcm coding applications)

详细介绍了3G网络的发展前景和应用程度，是一本很全的知识宝典，(Details of the 3G network development prospects and application level, is a very wide knowledge of canon,)

Orbita.m Programa para dibujar un periodo de la orbita de un satélite apartir de los parámetros orbitales Programado a partir de la hoja TUNDRA2.pdf Ramon Martínez, 20-12-2006 Parámetros k=398613.52 en (km^3)/(s^2) Re = 6377 km h=814.5 a=Re+h e=0 OmegaRot=0.9856 º /day n = sqrt(k/(a^3)) p = a*(1-(e^2)) J2=0.00108263 cos_i = OmegaRot*(-2/3)*(1/J2)*(1/n)*((p/Re)^2)*(pi/180)/(24*3600) i = acos(OmegaRot*(-2/3)*(1/J2)*(1/n)*((p/Re)^2)*(pi/180)/(24*3600))*(180/pi)

主要内容(signal_analyzer.rar)如下： test1.txt 第一列为时间t，0.001s为步长；第二列为系统的输入信号；第三列为系统的输出信号。 signal_analyzer.m首先将test1.txt 的数据读入workspace，然后进行FFT，分析出两信号的频率，输出对于输入的幅值衰减（db），输出对输入的相位差。 (Main Content (signal_analyzer.rar) as follows: test1.txt the first time as t, 0.001s for the step the second as the input signal the third as the system output signal. signal_analyzer.m first test1.txt the data read into the workspace, and then FFT, the frequency of the two signals, the output amplitude for input attenuation (db), the output of the input phase difference.)

The users in each cell are divided into cell-interior and celledge users. The categorization is based on the geometry factor and we take into acount the user distance its serving BS, considering a distance threshold Dth beyond of which the user is considered as cell-edge user.

毕设关于SIFT SUSAN等算子对于图像特征提取的应用，利用Matlab做的(Completed based on the SIFT on SUSAN operator for image feature extraction, using Matlab to do)