homework

TolPac=1 输入数据块数 PacketLen=10 每块的符号数目 M=64 调制指数 SNR=20 NFFT=256 Length of IFFTCpLength=16 Length of Prefix NSubc=64 Number of subcarriers freoff=0.5 归一化频偏2.25,phaseoff=0.1 (TolPac = 1 input data blocks the the PACKETLEN 10 of the span per block, the number of symbols M = 64 modulation index SNR = 20 NFFT = 256 the length of IFFTCpLength = 16 Length of Prefix NSubc = 64 Number of subcarriers freoff = 0.5 the normalization frequency offset 2.25 phaseoff = 0.1 )

低通滤波,很好用，低通滤波器大家很常用，这是一个基于Simlink下简单的低通滤波器，适合初学者学习掌握(Low-pass filters are commonly used. This is a simple low-pass filter based on Simlink. It is suitable for beginners to learn and master.)

说明：  Matlab图像处理工具手册,介绍一些MATLAB 图像处理命令(Matlab image processing toolkit to introduce some MATLAB image processing commands)

简单描述了SIMULINK的基础知识，是初学者较好的教材(Briefly describes the basics of SIMULINK is a good textbook for beginners)

本例程是三电平故障诊断仿真，通过观察输出波形来判断哪个开关管有损坏，是什么损坏(This Simulation files is a three-level fault diagnosis simulation, by observing the output waveform to determine which switch is damaged, what damage is)

simulate the performance of a DS-SS/BPSK communication system in the following scenarios: 1. In the AWGN channel 2. In the presence of pulsed noise jamming and AWGN(simulate the performance of a DS-SS/BPSK communication system in the following scenarios: 1. In the AWGN channel 2. In the presence of pulsed noise jamming and AWGN)

说明：  蚁群算法的matlab代码，经过测试没有问题(Ant colony matlab code)

认知无线电 提高频谱利用率 OR融合准则(OR fusion rule of cognitive radio spectrum efficiency)

由于传感器自身以及通信延迟等原因, 使得异步多传感器数据融合问题比同步问题的研究更 切合实际。 对连续时间系统在融合中心和各传感器节点分别进行异步离散化处理,离散后过程噪声与测 量噪声以及测量噪声之间相关,虽然相应连续时间系统中的噪声是不相关的。 最后推导了相关噪声情况 下的异步融合算法,仿真结果说明了算法的有效性。(Due to t he r easons of senso rs in it self and the communication delays, the r esearch of t he asy nchr onous multisensor da ta fusion pr oblem is mo re pr actical than t hat o f synchro no us one. Firstly t he continuo us-time system is discr etig ed in the fusio n center and all t he senso r nodes w it h differ ent sample interv al. T hen the measurement no ises are fo und to be co r related with each other and t he pr o- cess noise tho ugh the no ises of t he co rr espo nding continuo us-time sy st em ar e unco rr elat ed. Finally an asy nchr onous fusion algo r ithm is pr esented for the cor r elat ed noises case. Simulatio n results show t he v alidity o f the presented a lg or ithm)

this code is use to read ply file