myVoice

基于AR模型的burg算法，根据100年间每年12个月记录到的太阳黑子出现次数的平均值求太阳黑子的活动周期。（matlab程序和实验报告）(Burg algorithm based on AR model, according to 100 years, 12 months per year sunspot record to appear and sunspot activity cycle of the average number of times. The (matlab Programs and lab reports))

说明：  MATLAB无线网络的各种例子,相当全面(MATLAB various examples of wireless networks, a reasonably comprehensive)

Matlab Code for Time delay Beamformer

基于Alamouti的STBC-OFDM系统性能分析(Based on Alamouti' s STBC-OFDM system performance analysis)

说明：  演化算法的使用分析，从效率上，从收敛速度上都做了仔细的分析(The use of evolutionary algorithms analysis of efficiency, from the convergence rate has done a careful analysis of)

信道估计,we will assume that the receiver knows your name, i.e., it knows s (and of course x). Based on this knowledge, the receiver will estimate h using the MVU and MMSE method (for the latter it is also assumed that the variance of the noise σ2 is known at the receiver).(Channel Estimation:we will assume that the receiver knows your name, i.e., it knows s (and of course x). Based on this knowledge, the receiver will estimate h using the MVU and MMSE method (for the latter it is also assumed that the variance of the noise σ2 is known at the receiver).)

本程序是Matlab的Simulink模块程序。模拟虚拟输出队列。是通信建模的入门模块。欢迎大家学习交流(This program is Matlab' s Simulink module program. Analog virtual output queues. Getting Started modules in communications modeling. Welcome to the Learning Exchange)

说明：  蒙特卡罗方法可以有效地解决复杂的工程问题，而MATLAB具有强大的数值计算功能。将二者结合使用，可以得到高效的解决问题的方法。本文阐述了该方法并通过实例验证了该方法的正确性和优越性。 (Monte Carlo method can effectively solve complex engineering problems, and MATLAB has powerful function of numerical calculation. The two in combination, can be cost-effective solution to the problem. This paper describes the methods and examples of the method to verify the correctness and superiority.)

SUSAN-based functions to detects image edges and their orientation(SUSAN-based functions to detects image ed celebrated and their orientation)

这个程序就是最基本的粒子群优化算法程序，用Matlab实现，非常简单。只有几十行代码。(This procedure is the most basic particle swarm optimization procedures, using Matlab implementation is very simple. Only a few dozen lines of code.)