QPR

实现8psk的simlation仿真，其输入输出很全。(used to simalate the 8psk function)

empirical formula with kaiser clc clear all fs=1000 fc=250 df=50 r=0.001 f=fc/fs dw=2*pi*(df/fs) a=-20*log(r) n=floor(((a-8)/(2.285*dw))+1) if a>50 b=0.1102*(a-8.7) elseif a>=21 && a<=50 b=0.5842*((a-21)^0.4)+0.07886*(a-21) elseif a<21 b=0.0 end w=kaiser(n,b) for i=1:n if i~=(n-1)/2 hd(i)= (2*f*sin((i-((n-1)/2))*2*pi*f))/((i-((n-1)/2))*2*pi*f) elseif i==(n-1)/2 hd(i)=2*f end end for j=1:n h(j)=w(j)*hd(j) end subplot(3,1,1), plot(w) subplot(3,1,2), plot(h) subplot(3,1,3), plot(h,n)

MiMO radar performance

matlab在数值分析中的实例与代码，结合具体例子讲述Matlab在数值分析中的应用(matlab code examples and numerical analysis, combined with specific examples about Matlab in Numerical Analysis)

心电心音脉搏的小波去噪，特征提取，以及心血管参数的运算(ECG, heart sounds, pulse wavelet de-noising, feature extraction, and cardiovascular parameters of operation)

SQPLab optimization toolbox

已知赤经赤纬计算轨道六根数，采用高斯算法(calculate orbit elements（gauss))

hign power using matlab

张量分解提取生物学特征，NFEA: Tensor Toolbox for Feature Extraction and Applications( Data in modern applications such as BCI based on EEG signals often contain multi-modes due to mechanism of data recording, e.g. signals recorded by multiple-sensors (electrodes), in multiple trials, epochs, for multiple subjects and with different tasks, conditions. Moreover, during processing and analysis, dimensionality of the data could be augmented due to expression of the data into sparse domain (time-frequency representation) by different transforms such as STFT, wavelets. That means data itself is naturally a tensor, and has multilinear structures. Standard approaches which analyze such data by considering them as vectors or matrices might be not suitable due to risk of losing the covariance information among various modes. To discover hidden multilinear structures, features within the data, the analysis tools should reflect the multi-dimensional structure of the data)

利用重心法提取光条中心,激光光条中心提取(light stripes center extraction)