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preprocessing of ECG signal for wave detection

说明：  matlab多用户传输仿真，用于UWB中(Matlab multi-user transmission simulation, which for UWB)

说明：  主要介绍一种滤波器的实现及其方法，维纳滤波器是声音去噪中应用较多的一种！(Describes the realization of a filter and method, Wiener filter is the sound of a denoising application of more!)

EMD分解可以运行的MATLAB程序用于经验模态分解(Empirical Mode Decomposition Decomposition The program can be run very well with a lot of support to download)

CONVERT IMG TO CURVE IN MATLAB

带端点延拓的EMD的matlab程序，可抑制端点效应(With the endpoint extension EMD Matlab procedures, can restrain end effect)

matlab超强的数值计算和图形处理能力，模拟最简单的简谐运动问题。M文件。(matlab the superior numerical computation and graphics processing power, analog easiest free fall. M-file.)

在有限元计算中作图形绘制，有限元编程的朋友比较有用(In finite element calculations for graphics rendering, finite element programming Friend more useful)

用matlab实现的Gauss-Seidel迭代法。(Using matlab realize the Gauss-Seidel iteration method.)

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)