SIFT

说明：   图像分割迭代、峰谷、半阈值算法。(Image segmentation iterative, peak, semi-threshold algorithm.)

基于一维自主神经网络的图像融合，lena图像融合(One-dimensional autonomous neural network-based image fusion, lena image fusion)

傅里叶分解，包含偶数次谐波，是一个matlab的M文件(Fourier decomposition, contain even-numbered harmonics.Is an M-file matlab)

实现变步长LMS自适应滤波,其步长可改变，是一种改进的lms算法(realize lms )

Matlab 7.0 安装的详细教程(Matlab installation detailed tutorial)

说明：  双层优化模型，求解思路是：首先对上层的决策变量编码，代人下层规划模型，通过求解下层模型的决策变量值，代入上层模型计算适应度值，然后进行交叉、变异、选择操作，最后求出最优解(two-layer optimization)

循环谱代码，以及MFSK的循环谱代码的实现(Cyclic spectrum code, and the code MFSK realization of cyclic spectrum)

wilkinson method for ber computation

牛顿算法，用于求迭代方程的解，数值分析用(Newton algorithm for seeking solutions of iterative equations, numerical analysis using)

MATLAB GUI设计学习手记（第二版）源程序 第3章 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 Chapter 3 the learning methods recommended in this book: 1) If you are a MATLAB beginners, and have plenty of time to learn GUI design, you can start from Chapter 1 of the book The step-by-step learning. 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.)