pdco

说明：  自适应里面的自校正算法，根据最小二乘递归算法实现自校正控制(Adaptive self-tuning algorithm which, according to the recursive least squares algorithm for adaptive control)

说明：  我最近用MATLAB做的语音处理实验，含有3种处理方式，希望对大家有帮助。(I have recently done with MATLAB voice processing experiments, containing three kinds of approach, I hope all of you help.)

steganography dct image algorithm. very useful for implementing dct and idct concepts in matlab......

boiler model in simulink for control theory

哈工大matlab讲义 绘图 基础 再加上单独五讲内容(matlab)

MATLAB编程，发射声波控制，检测目标。界面友好，易操作，易理解(MATLAB programming, acoustic emission control, detect target. Friendly interface, easy operation, easy to understand)

matlab仿真小波多分辨率去噪和曲线拟合去噪(matlab simulation of wavelet multi-resolution denoising Denoising and Curve Fitting)

详细讲解了matlab中PDE工具箱的应用,附有具体的例子并附图说明()

This document contain a model of wi-fi 802.11 b Its great work

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)