SA-TSP

matlab实现小波构造 matlab实现小波构造 (matlab matlab implementation to achieve wavelets Wavelets)

cfft256程序，很好用的，通信必备的matlab程序(cfft256 procedures, the good, the necessary communication procedures Matlab)

几种16qam的实现方法，对于初学者可能有帮助，(16qam the realization of several methods may be helpful for beginners,)

bpsk蒙特卡洛仿真，误码特性与信噪比曲线，几种实现的对比(bpsk Monte Carlo simulation, BER- SNR characteristic curve)

离散随机系统的Bayes辨识法，matlab程序(Bayes discrete stochastic systems identification method, matlab program)

Source separation problems in digital signal processing are those which are used to separate useful signal a mix of signals of interest, other signals and noise. The typical example of a source separation problem is the cocktail party problem, where many number of peoples are talking simultaneously in a room and a listener is trying to follow one of the discussions. The human brain can separate the voices of different people (source separation) using neurons in the auditory region. But source separation using digital signals is difficult task with the available techniques. Several approaches have been proposed for solving this issue but most of the techniques are still in development stages. Some of the successfully tested approaches are principal components analysis (PCA) and Independent components analysis (ICA). Both the approaches work well when there are no delays or echoes present

这是一个序列二次规划算法的MATLAB程序，内有详细注释。(This is a sequential quadratic programming algorithm in MATLAB, with detailed notes.)

Floyd算法（Floyd-Warshall algorithm）又称为弗洛伊德算法、插点法，是解决给定的加权图中顶点间的最短路径的一种算法，可以正确处理有向图或负权的最短路径问题(Floyd algorithm (Floyd-Warshall algorithm) also known as the Freud algorithm, interpolation method is an algorithm of the shortest path between the vertex weighted graph to solve a given in, can correctly handle the directed graph problem or negative right)

说明：  不带像素操作的机器视觉代码-The brain transforms and discards pixels. The transformation is a smoothing and differencing filter. The output of an individual filter is ambiguous.The output of 5 filters lets us find edges and corners. A small number of filters covers the entire image. This method is fast and discards irrelevant information(Without pixel machine vision operation code-The brain transforms and discards pixels. The transformation is a smoothing and differencing filter. The output of an individual filter is ambiguous.The output of 5 filters lets us find edges and corners. A small number of filters covers the entire image. This method is fast and discards irrelevant information)

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.)