Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: J.P. Todoeschuck and O.G. Jensen (Geophysics, vol.53, no.11, p.1410-14, 1988) recently reported that some reflectivity sequences denoted mu (k), calculated from sonic logs, are not white and have a por spectral density approximately proportional to frequency, which is called a Joseph spectrum. A robustness test is now presented for the case of mu (k) having a Joseph spectrum for the minimum-variance deconvolution (MVD) filter and the maximum-likelihood deconvolution (MLD) algorithm, which re developed based on the whiteness assumption about mu (k). From the simulations performed, it is concluded that the possible Joseph spectrum of mu (k) is not a concern when applying the MVD filter and MLD algorithm towards estimating mu (k) from seismic data. >
['Chong-Yung Chi']
I am writing a research paper on a idea A robustness test for the MVD filter and MLD algorithm
[{"from": "human", "value": "I am writing a research paper on a idea A robustness test for the MVD filter and MLD algorithm"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: J.P. Todoeschuck and O.G. Jensen (Geophysics, vol.53, no.11, p.1410-14, 1988) recently reported that some reflectivity sequences denoted mu (k), calculated from sonic logs, are not white and have a por spectral density approximately proportional to frequency, which is called a Joseph spectrum. A robustness test is now presented for the case of mu (k) having a Joseph spectrum for the minimum-variance deconvolution (MVD) filter and the maximum-likelihood deconvolution (MLD) algorithm, which re developed based on the whiteness assumption about mu (k). From the simulations performed, it is concluded that the possible Joseph spectrum of mu (k) is not a concern when applying the MVD filter and MLD algorithm towards estimating mu (k) from seismic data. >"}]