A combined Wigner-Ville and maximum entropy method for high-resolution time-frequency analysis of seismic data

Geophysics ◽  
2015 ◽  
Vol 80 (6) ◽  
pp. O1-O11 ◽  
Author(s):  
Ibrahim Zoukaneri ◽  
Milton J. Porsani
Keyword(s):  
High Resolution ◽  
Maximum Entropy ◽  
Frequency Analysis ◽  
Seismic Data ◽  
Maximum Entropy Method ◽  
Entropy Method ◽  
Resolution Time ◽  
Time Frequency Analysis ◽  
Time Frequency

Multichannel maximum-entropy method for the Wigner-Ville distribution

Geophysics ◽  
2020 ◽  
Vol 85 (1) ◽  
pp. V25-V31
Author(s):  
Yanghua Wang ◽  
Ying Rao ◽  
Duo Xu
Keyword(s):  
Spectral Analysis ◽  
Maximum Entropy ◽  
Seismic Data ◽  
Maximum Entropy Method ◽  
Entropy Method ◽  
Reflection Coefficients ◽  
Resolution Time ◽  
Maximum Entropy Spectral Analysis ◽  
Cross Term ◽  
Time Frequency

The Wigner-Ville distribution is a powerful technique for the time-frequency spectral analysis of nonstationary seismic data. However, the Wigner-Ville distribution suffers from cross-term interference between different wave components in seismic data. To mitigate cross-term interference, we have developed a multichannel maximum-entropy method (MEM) to modify the Wigner-Ville kernel. The method is related to the conventional maximum-entropy spectral analysis (MESA) algorithm because both algorithms use Burg’s reflection coefficients for the calculation of the prediction-error filter (PEF). The MESA algorithm works on the standard autocorrelation sequence, but it does not work for the Wigner-Ville kernel, which is an instantaneous autocorrelation sequence. Our multichannel MEM algorithm uses the PEF to modify any single Wigner-Ville kernel sequence by exploiting multiple Wigner-Ville kernel sequences simultaneously. This multichannel implementation is capable of robustly determining the reflection coefficient and a minimum-phased PEF for the Wigner-Ville kernel sequence. The Wigner-Ville distribution and the multichannel MEM algorithm in conjunction with each other in turn can produce a high-resolution time-frequency spectrum by mitigating the cross-term interferences and suppressing the spurious energy in the spectrum.

High resolution time-frequency analysis of otoacoustic emissions

1997 ◽  
Vol 5 (6) ◽  
pp. 407-418 ◽  
Author(s):  
K.J. Blinowska ◽  
P.J. Durka ◽  
A. Skierski ◽  
F. Grandori ◽  
G. Tognola
Keyword(s):  
High Resolution ◽  
Frequency Analysis ◽  
Otoacoustic Emissions ◽  
Resolution Time ◽  
Time Frequency Analysis ◽  
Time Frequency
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