l2dwave

包括九个实例，展示matlab在自动设计中的仿真应用(this book includes nine examples that represent tipical design tasks of an automotive applications)

qpsk调制解调实验，详细介绍了调制解调的原理，深入理解理论知识(qpsk modulation and demodulation experiment, described in detail the principles of modulation and demodulation, in-depth understanding of the theoretical knowledge)

牛頓案例，主要是以matlab軟件來運算標準題型。(Newton s case, mainly matlab software to compute the standard questions.)

说明：  悬链线方程，初始估计锚链的最长和最短长度，用于锚泊系统初始设计(Catenary equation for initial estimation of the longest and shortest length of the chain for initial design of the mooring system)

OFDM信道估计和均衡的仿真程序，包括MMSE、LS、ZF等方法。(OFDM channel estimation and balanced simulation program, including the MMSE, LS, ZF and other methods.)

matlab的工具箱的安装步骤： 1.解压下载的文件包，将tft/mfile复制到matlab的toolbox文件夹下 2.建立搜索路径，matlab->file->Set Path->Add Folder ->选择mfile文件夹复制到matlab的toolbox的路径->save->close 3.测试是否建立搜索路径成功，在matlab命令窗口打入：which fmsin 返回的结果是你放mfile的正确路径说明建立搜索路径成功。此时就完成了安装工具包的工作。 (matlab toolbox installation steps: 1. decompress the downloaded file package, which will tft/mfile matlab' s toolbox copy to folder 2. to establish the search path, matlab-> file-> Set Path-> Add Folder-> Select matlab mfile folder to the path of the toolbox-> save-> close 3. test whether the establishment of a successful search path, in the matlab command window enter: which fmsin return mfile result is you put the correct path to search path that create success. At this point the installation kit to complete the work.)

读ncdc风场数据，包括速度场和风应力旋度场(read wind data)

QPSK软件接收机,对QPSK整个接收过程进行仿真，包括载频捕获、相位跟踪、滤波、判决等。(QPSK software receiver for receiving QPSK whole process simulation, including the carrier frequency acquisition, phase tracking, filtering, and other judgments.)

调试所用Matlab版本是6.5，gatbx-toolbox是调试过程中使用的工具箱，有些热心的研友已经提供了该工具箱，之所以再贴一遍，是因为6.5版本下调试该工具箱会出现一些错误提示，在该版本中已经进行了改正，使用该工具箱只需要将压缩包下的gatbx和gatbxTest_fns加入到Matlab搜索路径即可，另外gatbx-origin是Sheffield大学提供的原始版本的工具箱，未做任何改动，两者可做比较之用 3.gatbx-example是算例调试源码和各算例的调试说明，大家可以对照原书进行比较 4.窃以为gatbx工具箱较之Matlab7新版下的gads工具箱更能让人熟悉和了解遗传算法的原理和计算过程，虽然在可视化方面不及gads 5.学习遗传算法如果首先用熟相关工具箱的话，能够先培养信心，然后更有兴趣去专研和了解具体的算法，如果就用现有的工具箱就能解决问题的话，不了解其详细的算法也未尝不可，毕竟不是每个研友都能向see_moonlight那样开发自己的工具箱吧, ( The debugging uses the Matlab edition is 6.5, gatbx-toolbox debugs the toolbox which in the process uses, somewhat warm-hearted ground the friend already to provide this toolbox, the reason that pasted again, was because under 6.5 editions debugged this toolbox to be able to present some wrong prompts, had already carried on the correction in this edition, will use this toolbox only to need to compress package of under gatbx and gatbx Test_fns joins to the Matlab search path then, moreover gatbx-origin was the primitive edition toolbox which the Sheffield university provided, has not made any modification, both might make the comparison are the example debugging sound code and various examples debugging explained with 3.gatbx-example, everybody might compare the original bookCarries on comparison 4. in my opinion under the gatbx toolbox s to be able to let the human compared with Matlab7 update gads toolbox be familiar with the understanding genetic algorithm principle and)

计算最小生成树，求解最短距离问题,matlab程序代码（注：不是只是两点之间最短路径，不是遍历问题）。(solve the problem of the shortest path.)