20100816234956_UM_2.4.2.35

先进PID 控制及其MATLAB 仿真 网络上很少有这样的文档资料下载(Advanced PID Control and MATLAB Simulation of the network there has been little information download this document)

关于相控阵雷达的经典书籍，对学习雷达相当有帮助(On the phased array radar on the classic books, for learning radar quite helpful)

说明：  VBA编写的Bouc-Wen模型，拟合滞回曲线，应用于很多研究中，需要的联系我，VBA编写的Bouc-Wen模型模型，拟合滞回曲线，应用于很多研究中，需要的联系我，VBA编写的BOuC-文模型，拟合滞回曲线，应用于很多研究中，需要的联系我(TheBouc-Wenmodel compiled by VBA is used to fit hysteretic curve in many studies. It needs to contact me. The Bouc-Wenmodel compiled by VBA is used to fit hysteretic curve in many studies. It needs to contact me. TheBouc-Wen model compiled by VBA is used to fit hysteretic curve. It is used in many studies and needs to contact me.)

Matlab object serialization functions built with undocumented mex functions `mxSerialize` and `mxDeserialize`. The function can convert any ordinary matlab variable into uint8 array. These functions are unsupported and may change at any time without notice in the future Matlab release.

matlab与VC版本的FFT与FIR程序代码(FFT and FIR code written in both matlab and stand C)

MPC5606的 DMA开发 负责吧数据从变量搬运出去(development DMA )

我已经上传了matlab的程序源代码，请求审核

说明：  ：Mean—shift算法是一种非参数密度估计算法，可以实现快速的最优匹配，在目标的实时跟踪领域起着非常 重要的作用。为了有效的将Mean—shift算法应用到灰度图像中，采用了以方向直方图建立目标模型的策略，提出了在灰 度图像中以Mean—shift为核心的目标跟踪算法。实验结果表明，该算法具有不受光照条件影响的优点，在低对比度的情 况下仍能实现稳定、实时的跟踪目标。(: Mean-shift algorithm is a nonparametric density estimation algorithm, the optimal matching can be fast, real-time tracking fields in the target plays an important role. In order to effectively Mean-shift algorithm will be applied to the gray image, the histogram used to establish the direction of the strategy target model is proposed in the gray image to Mean-shift tracking algorithm as the core. Experimental results show that the algorithm has the advantage of not lighting conditions, in the case of low contrast can still achieve stability, real-time tracking of targets.)

matlab sar simulation

一个非常红的画图程序，非常有意思，再此上传下(A very red paint program, very interesting, upload it again next)