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[Mathimatics-Numerical algorithms] windowed_Burg DL : 0: 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 pburg.m algorithm from MATLAB. -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 pburg.m algorithm from MATLAB.
Update : 2008-10-13 Size : 10.69kb Publisher : ff
[Other resource] processradar DL : 0: ％ BackgroundRemoval=[true],false ％ Gain=[tsquare],linear ％ BandPass=[paul],fircls ％ CenterFrequency, auto (determined using pburg) ％ BandWidth=auto (a fraction of the CenterFrequency default=0.25) ％ ContrastStretch=[true],false ％ HilbertAmplitude=[true],false ％ HorizontalStacking=1 (a number of traces) ％
Update : 2008-10-13 Size : 3.6kb Publisher : huguangfeng
[Mathimatics-Numerical algorithms] windowed_Burg DL : 0: 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 pburg.m algorithm from MATLAB. -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 pburg.m algorithm from MATLAB.
Update : 2025-02-19 Size : 10kb Publisher : ff
[matlab] processradar DL : 0: ％ BackgroundRemoval=[true],false ％ Gain=[tsquare],linear ％ BandPass=[paul],fircls ％ CenterFrequency, auto (determined using pburg) ％ BandWidth=auto (a fraction of the CenterFrequency default=0.25) ％ ContrastStretch=[true],false ％ HilbertAmplitude=[true],false ％ HorizontalStacking=1 (a number of traces) ％- BackgroundRemoval = [true], false Gain = [tsquare], linear BandPass = [paul], fircls CenterFrequency, auto (determined using pburg) BandWidth = auto (a fraction of the CenterFrequency default = 0.25) ContrastStretch = [true], false HilbertAmplitude = [true], false HorizontalStacking = 1 (a number of traces)
Update : 2025-02-19 Size : 4kb Publisher : huguangfeng
[matlab] Untitled2 DL : 0: 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
Update : 2025-02-19 Size : 1kb Publisher : 肖刘
[matlab] burg DL : 0: 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
Update : 2025-02-19 Size : 219kb Publisher : jeas
[matlab] burg DL : 0: 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.
Update : 2025-02-19 Size : 1kb Publisher : july
[Windows Develop] ar_burg DL : 0: 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
Update : 2025-02-19 Size : 1kb Publisher : rh
[Other] amp-latency-AR-test DL : 0: 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 ) IndMax=find(diff(sign(diff(px1)))<0)+1 MAX=px1(IndMax) loc=f1(IndMax) figure plot(f1,px1) title( CI——Burg算法功率谱估计 ) xlabel( Frequency(Hz) ) ylabel( Power ) hold on plot(loc(1),MAX(1), * ) hold on plot(loc(2),MAX(2), * ) hold on plot(loc(3),MAX(3), * ) - Burg algorithm for power spectrum estimation, sampling points nfft MAX value and does not affect the position of 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 algorithm for power spectral estimation' ) xlabel (' Frequency (Hz)' ) ylabel (' Power' ) IndMax = find (diff (sign (diff (px1))) < 0)+1 MAX = px1 (IndMax) loc = f1 (IndMax) figure plot (f1, px1) title (' CI- Burg algorithm for power spectral estimation ' ) xlabel (' Frequency (Hz) ' ) ylabel (' Power ' ) hold on plot (loc (1), MAX (1),' * ' ) hold on plot ( loc (2), MAX (2), ' *' ) hold on plot (loc (3), MAX (3), ' *' )
Update : 2025-02-19 Size : 1kb Publisher : yanlili0703
[Other] burgyulear DL : 0: 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
Update : 2025-02-19 Size : 2kb Publisher : 文爵
[matlab] Burg DL : 0: 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 quite near to make you master this algorithm easily.
Update : 2025-02-19 Size : 10kb Publisher : waichengfeng