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这个matlab程序通过Galerkin方法求解常微分方程组，当然求解的结果是Differential Equations (ODE)近似的解。(Differential Equations (ODE) Solver through Galerkin Method)

指纹读取 识别 滤波,关于3个指纹的读，改，和另外一个指纹进行匹配(Fingerprint reader identify the filter, on the three fingerprint read, change, and another to match a fingerprint)

complete simulink model of inverted wedge control

plot faces by using matlab(plot faces)

trials for MIMO discussion

最小均方自适应滤波 可用于系统辨识 预测编码 谱分析 噪声消除(LMS adaptive filter can be used to identify predictive coding system to eliminate noise spectral analysis)

这是多电平svpwm空间电压矢量控制的算法，用于电机控制(This is a multi-level voltage svpwm space vector control algorithm for motor control)

vrml to smf convert use for 3d image

MATLAB GUI设计学习手记（第二版）源程序 附赠 俄罗斯方块V2.0 本书推荐的学习方法： 1）若您是一个MATLAB初学者，且有充裕的时间来学习GUI设计，您可以从本书的第1章开始循序渐进地学习。 2）若您是一位MATLAB初学者，且时间非常紧迫，建议您先学好第1章，然后依次学习第4章、第5章和第6章，其他章节请根据项目需要有选择性地学习。 3）若您已经掌握了MATLAB的基础语法知识，有一定的MATLAB编程基础，也请浏览一下第1章的内容，尤其是专题分析部分。然后先学习本书第4、5和6章，其他章节请根据项目需要有选择性地学习。 4）若您是一位MATLAB GUI方面的专家或老师，您可以将本书作为一本教学的参考书，本书内容全面、讲解详实、代码精炼，是不可多得的GUI宝典。 (MATLAB GUI design learning Hearts (second edition) source code comes with Tetris V2.0 book recommended learning methods: 1) If you are a MATLAB beginners, and there is plenty of time to learn GUI design from the Chapter 1 of the book began to learn step-by-step. 2) If you are a MATLAB beginners, and the time is very tight, it is recommended that you first learn to Chapter 1, followed by learning Chapter 4, Chapter 5 and Chapter 6, in other sections based on project needs selective learning . 3) If you have mastered the basic grammar of the MATLAB, the MATLAB Programming Fundamentals, please visit the Chapter 1, in particular thematic analysis section. First learning book chapters 4, 5 and 6, then the other chapters selective learning based on project needs. 4) If you are an expert or teacher of a MATLAB GUI, you can book as a teaching reference books, the book is comprehensive, explain the detailed, refined code, is a rare GUI canon.)

模拟退火算法例程解决优化求解问题，附有源代码(Simulated annealing algorithm routine to solve optimization problems, with source code)