shili99

有关matlab的神经网络源程序，各种例子源程序都有，很好可以做很好的参考(matlab source code)

线性时频分布的工具箱。包含文档说明和代码(Linear TimeFrequency Toolbox)

MATLAB下实现可执行程序的生成与输出,了解 matlab编写可执行程序方法(The generation and output executable program under MATLAB, understanding Matlab write executable program method)

MATLAB的数字滤波器设计 (MATLAB digital filter design)

matlab中AR模型功率谱估计中AR阶次的实现(matlab power spectral estimation of AR model order of the realization of the AR)

c++必备：c++ primer、clean code、effective c++(c++ primer、clean code、effective c++)

MATLAB GUI设计学习手记（第二版）源程序 第6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), the recommended way to learn the source code Chapter 6 of this book: 1) If you are a MATLAB beginners, and there is 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.)

经典的灰度共生矩阵纹理计算方法，本程序的性能已经达到较高水平，包含收发两个客户端程序。( Classic GLCM texture calculation method, The performance of the program has reached a high level, Transceiver contains two client programs.)

matlab下编写的基于哈尔小波的分解与重构函数，有详细注释(matlab prepared Haar wavelet-based decomposition and reconstruction of the function, there are detailed notes)

计算近似熵、改进的样本熵及优化的模糊熵,均为matlab下编辑的程序，是很好的复杂度指标(approxy entropy, sample entropy and fuzzy entropy matlab code )