ofdm_ber

iris recognition System will automatically delete the directory of debug and release, so please do not put files on these two directory.

说明：  局部放电小波去噪，采用db5小波进行5层分解，最后重构信号(Partial discharge wavelet denoising, db5 wavelet is used for 5-level decomposition, and finally the signal is reconstructed)

说明：  正弦信号，单个频率的正弦信号，频率为1KHz，幅度为5(Sinusoidal signal, a single frequency sinusoidal signal, a frequency of 1KHz, the range of 5)

Power Iteration Clustering projection Input: W - row-normalized affinity matrix v0 - starting vector conv - convergence threshold maxit - maximum number of iterations Output: vt - 1-d PIC embedding i - iterations ran t - runtime

听觉信号加工的双通路模型是北大教授吴玺宏2008年的一篇很重要的文章(Two-channel audio signal processing model)

GM（1,1）模型预测是以灰色系统理论为基础，通过原始数据的分析处理和建立灰色模型，对人口数量、未来状态作出科学的定量预测的一种方法。(GM (1,1) model prediction is based on the gray system theory, through the analysis and processing of the original data and the establishment of gray model, the population quantity, the future state to make a scientific quantitative forecast of a method.)

Packing Santa s Sleigh by Alfonso Nieto-Castanon

other for operation system and network

Simulation program to realize DS-CDMA system

例3：分析占空比为ta的矩形脉冲频谱 T=1 时间窗大小 ta=0.5 占空比 N=256 t=linspace(-T,T,N) ts=2*T/N fs=1/ts (x=zeros(1,N) x(N/2-round(N/2*ta):N/2+round(N/2*ta))=ones(1,2*round(N/2*ta)+1) y=fft(x,N) figure plot(t,x) title([ 时域信号图 占空比为 ,num2str(ta)]) axis([-T T-0.2 1.2]) xlabel( t /s ) figure subplot(211) f=linspace(-fs/2,fs/2,N) plot(f,abs(fftshift(y))/N) title([ 矩形脉冲双边谱 脉冲时间t=[- ,num2str(ta*T), , ,num2str(ta*T), ] ]) xlabel( f /Hz ) )