codeutilscc

数字图像处理(Digital Image Processing)是通过计算机对图像进行去除噪声、增强、复原、分割、提取特征等处理的方法和技术。本书是数字图像信息处理领域的一本经典著作，是20多年来此领域最权威的教材之一。(Digital Image Processing (Digital Image Processing) is performed by a computer of the image to remove noise, enhancement, restoration, segmentation, feature extraction and other processing methods and techniques. This book is the digital image information processing field a classic book and is one of the most authoritative textbook in this field for over 20 years.)

分形课程设计编写的MATLAB仿真程序，代码里包含了mandbort和LOGISTIC、qpyzuj等几个集合图的小程序，还包括小波分型的sCQXYdQ算法，分型布朗模型也调试通过。? (Fractal course design written in MATLAB simulation program, code contains the mandbort and LOGISTIC,qpyzuj , and several collections chart applets, including typing sCQXYdQ wavelet algorithm, typing Brown model also through debugging. )

在matlab环境下利用有限元分析方法，采用四面体单元计算单向拉伸杆的横截面应力(In the matlab environment using finite element analysis, calculated using one-way stretch rod tetrahedral unit cross-sectional stress)

MATLAB中有专用的通信工具箱，里面提供了相当多的通信方面的函数，使用户能 轻松地进行通信方面的分析与处理，用户也可以自己编程解决问题(There are dedicated MATLAB toolbox of communication, which provides a considerable number of communications functions, allows users to easily communicate analysis and processing, the user can also be programmed to solve the problem themselves)

matlab2010程序教程，里面全是具体算例，比单纯的文字介绍要具体，容易上手。(matlab2010 procedural manuals, which are all specific examples, than simple text description should be specific, easy to use.)

用matlab自带的聚类函数进行聚类，输入为特征矩阵，输出的是聚类图(Clustering clustering comes with matlab function, input feature matrix, the output is dendrogram)

一个横向均衡器的MATLAB仿真，采用了自适应算法中的RLS算法(MATLAB simulation of a transverse equalizer, using the adaptive algorithm RLS algorithm)

粒子滤波算法预测电池寿命。包括电池容量数据和MATLAB程序。(The RUL prediction of battery based on partical filter. Including battery capacity data and matlab code.)

algoritmo pavilis, para el adelgazamiento de imagenes

数字信号处理相关源代码，有用的代码。是初学者的好帮手(Digital signal processing related to source code, useful code. Is a good helper for beginners)