File_Transfer

matlab求解热传导方程的几个例子，有注释，适合初学者(matlab solving a few examples of the heat conduction equation, with notes, suitable for beginners)

MAC层CSMA协议，是在OPNET中使用的(MAC layer，CSMA protocols)

通过鼠标控制画点，线，封闭的线，同时右击选项话出什么类型的点，线(Mouse control by drawing points, lines, closed the line, while right-click options, then what kind of point, line)

The lecture program c

说明：  systemview仿真：(7,4)汉明码编译码器(systemview simulation: (7,4) Hamming Code Codec)

基于粒子群算法的一点个人的研究，希望与大家共同进步 (Particle swarm optimization based on a personal research, hope and progress together)

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)

C program of binary search

matlab方面有很多程序可以使用到学习与工作中(matlab, there are many programs you can use to learn and work)

说明：  按FPE定阶的 源程序：fpe.cpp M序列：M序列.txt 白噪声：Gauss.txt 程序中先用依模型阶次递推算法估计模型的参数，再用fpe方法判断模型的阶次。 程序运行结果如下： n: 1 判断阶次FPE的值: 0.0096406 -0.481665 1.07868 n: 2 判断阶次FPE的值: 0.00875755 -0.446739 0.00498181 1.07791 0.0527289 n: 3 判断阶次FPE的值: 0.0087098 -0.459433 0.120972 -0.0569228 1.07814 0.0390757 0.116982 n: 4 判断阶次FPE的值: 0.000396884 -0.509677 0.4501 -0.200906 0.0656188 1.07991 -0.0156362 0.442989 0.0497236 n: 5 判断阶次FPE的值: 3.2095e-007 -1.18415 0.813123 -0.517862 0.34881 -0.116864 1.07999 -0.744141 0.474462 -0.253112 0.122771 n: 6 判断阶次FPE的值: 3.23349e-007 -1.14659 0.76933 -0.487651 0.329676 -0.10377 -0.00440907 1.07999 -0.703574 0.447253 -0.235282 0.113587 0.00479688 从以上结果可以看出，当n=5时，fpe值最小，所以这时的模型阶次和参数估计值为最优结果： 3.2095e-007 -1.18415 0.813123 -0.517862 0.34881 -0.116864 1.07999 -0.744141 0.474462 -0.253112 0.122771(err)