eisabook

用于解决多目标优化问题，是一个很不错的代码，给大家分享一下(MOGA Problem)

matlab仿真的，功能是实现相关峰值的提取。能够在低信噪比下得到效果较好的相关峰(matlab simulation, feature extraction is to achieve correlation peak. Able to get better low SNR correlation peak)

该程序可以构造一个不同行重列重下的QC-LDPC码，并做性能仿真(constructs qc-lpdc codes given size of sub-mnatrix(m), girth(g1), row (k) and column(j) weights)

里面包含了雷克子波源程序，生成单道地震记录，双同相轴记录，以及tfpt滤波等，对地震记录滤波很有帮助，看看吧(Which contains the Ricker wave source to generate single-channel seismic record, recording double-phase axis, and tfpt filtering, filtering on seismic records is helpful to see it)

image noise reduction by level dependent thresholding

MATLAB程序设计数值向量和数组MATLAB programming numerical vector and array(MATLAB programming numerical vector and array of MATLAB programming numerical vector and array)

：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 ))

matlab程序，本程序为样本熵程序，程序可运行，是很好的特征提取参数.(matlab procedures, the procedures for sample entropy, the program can be run, is a good feature extraction parameters.)

second order sliding mode control

基于matlab的关于昏迷病人脑电波复杂度分析(Matlab based on the complexity of comatose brain wave analysis)