-array-antenna

music matlab程序，c语言实现的一个小星星的音乐(music matlab procedures, c language a little star music)

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.)

这是我收集的几个通信基础理论的Matlab仿真实现，包括bpsk、qpsk、ofdm以及信号衰减和延迟的仿真。尽管不是我本人原创，但比较都经典(gggggggggggggg)

BUCK电路的双闭环控制matlab仿真，直接能用，参数都设置好了，效果很好。(BUCK circuit double-loop control matlab simulation, can be used directly, parameters are set up, the effect is very good.)

该文件使用FIR滤波器滤除采集的心电信号中的工频干扰，实测滤波效果不错，不过并不能处理基线漂移。文件中提供了滤波器的定点系数。(The file uses the FIR filter to remove the collected ECG frequency interference, measured the filtering effect is good, but does not deal with the baseline drift. Document provides a fixed filter coefficients.)

说明：  如何在C++中使用Matlab，这份资源希望能够帮助到大家。最近看了太多关于图象处理方面的内容。前辈们都很努力啊！(How to use C++ in Matlab, the resources that we hope to be able to help. Recently read too much on the aspects of image processing. Predecessors, have worked very hard ah!)

模仿微信打飞机 的Demo 无bug 希望大家一起学习

Multi-variate EMD. Extension of ... Tanaka and Mandic first initiated complex, and Rilling et al bivariate EMD. Tanaka,

：滤波 fs=400 采样频率,必须大于两倍基带信号最高频率 ts=1/fs 采样时间间隔 T=5 时间窗大小 t=0:ts:T (hf1=zeros(1,N) hf1(f<=B1&f>=-B1)=1 y1=hf1.*fftshift(y) figure subplot(211) plot(f,abs(fftshift(y))/N,f,hf1, r-- ) axis([-fs/2,fs/2,0,1.2]) title( 原信号频谱 ) xlabel( f /Hz ) subplot(212) plot(f,abs(y1)/N) title( 低通滤波，截止频率90Hz ) xlabel( f /Hz ))

OutputText.rar例子，关于txt输出，注释的特别详细(OutputText，special for txt)