ClusterBasics-V1.0

该模型实现了一个通用的OFDM TX和RX，这是不依赖于任何特定的行业标准。该模型的目标是开发和研究不断（不是“突发”）载波同步和定时跟踪方案。该技术纳入然后可以扩展和修改，以标准的具体通讯套件。该模型采用了“收购”技术，它利用了循环前缀相关属性，以赶在试图完成罚款跟踪算法一帧的边界粗略的估计。该模型实现了一个16点64循环前缀的OFDM载波波形。在OFDM符号有16个飞行员，3后卫音（0，带边幅），并使用45 QAM的剩余数据流4。 这包括最新型的衰落信道，误码率计算，并改善控制回路动态。(This model implements a generic OFDM TX and RX, which is not tied to any particular industry standard. The objective of this model is to develop and explore a continuous (not “bursty”) carrier and timing tracking synchronization scheme. The techniques incorporated can then be extended and modified to suite specific communications standards. The model uses an “acquisition” technique that exploits the correlation properties of the cyclic prefix to get a rough estimate of the frame boundary before attempting to accomplish the fine tracking algorithms. The model implements a 64 carrier OFDM waveform with a 16 point cyclic prefix. The OFDM symbol has 16 pilots, 3 guard tones (0 amplitude at band edge) and uses 4 QAM for the 45 remaining data streams. This latest model includes a fading channel, BER computation, and improved control loop dynamics. )

其实popupwindow用起来比Dialog 方便，因为dialog一切都需要你自己来实现，而popupwindow帮我们实现了很多，我认为在使用的时候关键我们要看清参数： popupWindow.showAtLocation(parent, gravity, x, y) parent这个是一个父view试图， gravity 这个默认是居中，我们要指定显示方式：Gravity.LEFT | Gravity.TOP 最后两个参数就是显示的坐标位置，这样就可以根据需求自己定位显示位置了

Matlab algorithm for Kmeans Simulation . It runs the Kmeans simulation using kmeans keyword. The files can be used for Points and Centroids

ANTENNA THEORY AND DESIGN Revised Edition Robert S. Elliott University of California Los Angeles, California(First published in 1981, Robert S. Elliott s Antenna Theory and Design is one of the most significant works in electromagnetic theory and applications. In its broad-ranging, analytic treatment, replete with supporting experimental evidence, Antenna Theory and Design conveys fundamental methods of analysis that can be used to predict the electromagnetic behavior of nearly everything that radiates. After more than two decades, it remains a key resource for students, professors, researchers, and engineers who require a comprehensive, in-depth treatment of the subject. In response to requests many of our members, IEEE is now reissuing this classic. Newly revised, it once again will be an invaluable textbook and an enduring reference for practicing engineers. The IEEE Press Series on Electromagnetic Wave Theory offers outstanding coverage of the field. It consists of new titles of contemporary interest as well as reissues and revisions of recognized classics by established authors and rese)

加窗函数的FIR数字滤波器设计的matlab实例(FIR digital filter design windowing function matlab examples)

逐步判别分析的主函数 用于分类 [sel,c,c0,re,P]=StepclaassV2(data,[50 50 50],data,10) 输入变量 x为训练集.每行为一个样本，每列为一个变量. Class_x,为训练集的分类情况，一行，为各类样本数量,例如[5 6 9] Test为待分类样本. 输出变量：sel为选择的变量序号，c,c0为拟合出的判别函数.re为对Test的判别结果,P为其后验概率. author 王新 2012.4.8 例子Sample: load fisheriris x=meas Class_x=[50,50,50] Test=meas(1:5,:) Fa1=4 [sel,c,c0,re,P]=StepclaassV2(x,Class_x,Test,Fa1)( Stepwise discriminant analysis for the classification of the main function [sel, c, c0, re, P] = StepclaassV2 (data, [50 50 50], data, 10) input variables x as the training set, each conduct a sample of each as a variable. Class_x, the classification for the training set, a row, the number of samples for all types, for example, [5 6 9] Test sample to be classified. output variable: sel for the selected variables serial number, c, c0 is fitted discriminant function. re discrimination results for the Test, P its posterior probability. author Wang 2012.4.8 examples Sample: load fisheriris x = meas Class_x = [50,50,50] Test = meas (1:5, :) Fa1 = 4 [sel, c, c0, re, P] = StepclaassV2 (x, Class_x, Test, Fa1))

systemvue for FBMC BER

FMCW调频连续波雷达的测距测角，各种资源分配算法实现，是本科毕设的题目，多目标跟踪的粒子滤波器，是学习PCA特征提取的很好的学习资料，合成孔径雷达（SAR)目标成像仿真。(FMCW frequency modulated continuous wave radar range and angular measurements, Various resource allocation algorithm, The title of the commercial is undergraduate course you Multi-target tracking particle filter, Is a good learning materials to learn PCA feature extraction, Synthetic Aperture Radar (SAR) imaging simulation target.)

bpsk信号频谱感知 能量检测算法 自编程序绝对有效(bpsk CR spectrum sensing)

Ising model for ferromagnetism