车辆纵向动力学

A Homography-Based Multiple-Camera Person-Tracking

用FTM方法，数值模拟小液滴自由下落的过程，作为样例供参考(By FTM method, numerical simulation of small droplets free-fall process, as examples for reference)

利用matlab内的svd function来拆解脸部图型并计算出在重新构制中会碰到的错误数量(Use of matlab' s svd function to disassemble the face graphics and calculate the re-structure the system will encounter in the number of errors)

说明：  在matlab语言中实现高阶统计量的计算的源程序，需要的下载。(In the matlab language to achieve the calculation of higher-order statistics of the source code needed to download.)

本程序包采用matlab编写的几种数值计算中经典的解方程组的算法，包括LU分解、Gauss消元法、Jacobi迭代法、以及Guass-Seidel迭代法的源代码。供大家参考。(This package prepared using matlab several numerical solution of equations of classical algorithms, including LU decomposition, Gauss elimination method, Jacobi iteration, and Guass-Seidel iteration method source code. For your reference.)

Matlab环境下的一种条形码识别算法。(A barcode recognition algorithms in Matlab environment.)

Ensure that Number.MAX_VALUE and Number.MIN_VALUE are extreme.

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)

匹配滤波器的源代码，可以实现信号生成的匹配滤波(The source code matched filter, can achieve the matched filter the signal generated)

Expedite the computationally intensive part of the mechanical analysis stage of a coupled electro-mechanical FEA of an electrostatically actuated micro-electro-mechanical (MEMS) device by using “parfor” to: 1. Compute Element Stiffness 2. Assemble global stiffness matrix (K) from element stiffness matrices 3. Assemble Force matrix (F)