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windowed_Burg
- Windowed-Burg method is made in order to improve the Clasical Burg method. Previously, I send the PBURGW.m file, but now I include also the ARBURGW.m algorithm and some NOTES-EXAMPLES to explain it and compare with the p
processradar
- ％ BackgroundRemoval=[true],false ％ Gain=[tsquare],linear ％ BandPass=[paul],fircls ％ CenterFrequency, auto (determined using pburg) ％ BandWidth=auto (a fraction of the CenterFrequency default=0.25) ％ ContrastStr
windowed_Burg
- Windowed-Burg method is made in order to improve the Clasical Burg method. Previously, I send the PBURGW.m file, but now I include also the ARBURGW.m algorithm and some NOTES-EXAMPLES to explain it and compare with the p
processradar
- ％ BackgroundRemoval=[true],false ％ Gain=[tsquare],linear ％ BandPass=[paul],fircls ％ CenterFrequency, auto (determined using pburg) ％ BandWidth=auto (a fraction of the CenterFrequency default=0.25) ％ ContrastStr
Untitled2
- 功率谱估计,包括周期图法，burg法，music法，和welch法，并绘图比较-psd,pmusic，pburg
burg
- burg算法求功率谱,用matlab实现,其中用到了arburg和pburg等函数-burg algorithm for power spectrum, with the realization of matlab, which uses a function such as arburg and pburg
burg
- 利用matlab实现burg算法的程序，不是调用pburg函数，希望能帮助要做课程作业的童鞋们。-The matlab burg algorithm program, not call pburg function, hoping to help the children ' s shoes to do course work.
ar_burg
- 经典谱估计AR模型的BURG算法 可与自带函数PBURG对比-The classic AR model spectrum estimation BURG algorithm and comes with a function PBURG contrast
amp-latency-AR-test
- Burg算法功率谱估计,采样点数nfft不会影响MAX值和位置. s=data22(6,:) s=s(50:150) nfft=2048 fs=500 EEG [px1,f1]=pburg(s,6,nfft,fs) figure plot(f1,px1) title( CI——Burg算法功率谱估计 ) xlabel( Frequency(Hz) ) ylabel( Power )
burgyulear
- 关于AR模型的burg、yulear功率谱估计算法，与系统自带的pburg相比，精确度更高-ar burg yulear
Burg
- 自己编写的现代谱估计方法中的Burg算法，并和MATLAB中的函数pburg函数进行对比，两个函数性能相当，便于大家学习掌握这个算法。-Modern spectral estimation methods have written Burg algorithm, and MATLAB functions pburg function comparison, the performance of the two functions is