MATLABcodeforthebranchandcut

ACE自适配通信环境（ADAPTIVE Communication Environment）是可自由使用、开放源码的面向对象（OO）框架（framework），它实现了许多用于并发通信软件的核心模式。ACE提供了一组丰富的可重用C++包装外观（wrapper facade）和框架组件，可跨多种平台完成通用的通信软件任务，其中包括：事件多路分离和事件处理器分派、信号处理、服务初始化、进程间通信、共享内存管理、消息路由、分布式服务动态（重）配置、并发执行和同步，等等。(ACE Adaptive Communication Environment (ADAPTIVE Communication Environment) is free to use, open source object-oriented (OO) framework (framework), it implements a number of concurrent communication software for the core model. ACE provides a rich set of reusable C++ Packaging appearance (wrapper facade) and the framework components, can be a variety of cross-platform communications software to complete common tasks, including: multi-way separation of incident and event processor assignment, signal handling, service initialization, interprocess communications, shared memory management, message routing, distributed service dynamically (re) configuration, concurrent execution and synchronization, and so on.)

procesamiento de filtrado espacial de imagenes

该文件包含了一些常用的声辐射噪声的特征提取方法，包括波形的包络特征，高阶谱特征，分形维特征，奇异指数特征等。(The document contains some common acoustic feature extraction method of noise, including waveform envelope characteristics, higher order spectral features, characteristic of fractal dimension, singular index characteristics.)

matlab voicebox工具箱 函数比较全 matlab voicebox toolbox function more and more to the point of total sub-Bar Moderator(matlab voicebox toolbox function compares the matlab voicebox toolbox function more and more to the point of total sub-Bar Moderator)

alidity Measures for the Fuzzy Cluster

说明：  用M文件写的模糊控制器，不是采用的模糊工具箱(M file written by the fuzzy controller, not using the fuzzy toolbox)

已验证的效果不错的边缘检测matlab代码(Good results have been validated edge detection matlab code)

说明：  小波包方法处理信号，信号的分解，重构，能量占比等(Signal processing, ------------WPT)

说明：  这个程序实现了对一个各态遍历，服从瑞利分布的mimo信道传输容量的计算。(This procedure achieved a traversal of the state, subject to Rayleigh distribution of MIMO channel transmission capacity calculations.)

simulation for wireless sensor networks