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matlab采用512个频率点绘制各种窗函数的幅频特性(matlab using 512 frequency points, drawing all kinds of window function of the amplitude-frequency characteristics)

支持向量机matlab仿真代码，对于智能控制算法的很有帮助(svm matlab code)

this is a very interesting paper, ple read it TransmitAntennaSelectionSchemeswith ReducedFeedbackRate, I will upload source code later. I am finding it in my computer

power factor improvement

Finite Impluse Response

说明：  MATLAB中常用语音函数，详细的函数使用以及结果分析！(MATLAB functions commonly used in voice, and the results of a detailed analysis of the function to use!)

GPS 软件接收机，非常适合GNSS接收机开发的初学者(GNSS SDR , very useful for beginner)

.附件结构: gatbx.rar: (1)gatbx-origin.zip; (2)gatbx-toolbox.rar; (3)gatbx-example.rar 2.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,(Annex structure: gatbx.rar: (1) gatbx-origin.zip; (2) gatbx-toolbox.rar; (3) gatbx-Test_fns under the compression package need to be added to Mat. The lab search path can be done, and gatbx-origin is the original version of the toolbox provided by Sheffield University, without any changes, which can be used for comparison. 3. Gatbx-example is the source code of example debugging and the debugging instructions of each example. You can compare it with the original book. 4. It is assumed that the gatbx toolbox is better than the gads toolbox in the new version of MATLAB 7 in familiarizing and understanding the principle and calculation process of genetic algorithm, although it is less visualized than gads.)

理论力学经典问题数值模拟课件，平底凸轮的动画演示。显示了不同动点的选择，相对运动轨迹的形式。(Numerical simulation of the classic problems of theoretical mechanics courseware, flat cam animation. Shows the different choices of fixed points, the relative trajectory of the form.)

基于改进粒子群算法的BP神经网络及其应用 里面很好的介绍了粒子群的优化效果(Particle swarm optimization based on improved BP neural network and its application within a very good introduction to the effects of particle swarm optimization)