2014
DOI: 10.3997/2214-4609.20141589
|View full text |Cite
|
Sign up to set email alerts
|

Simultaneous Denoising and Enhancement of Seismic Signals by a Fractal Conservation Law

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2016
2016
2016
2016

Publication Types

Select...
1

Relationship

0
1

Authors

Journals

citations
Cited by 1 publication
(1 citation statement)
references
References 0 publications
0
1
0
Order By: Relevance
“…The fractal conservation law (FCL) filtering method (Azerad et al, 2012), which is simply the forward heat equation modified by a fractional anti-diffusive term of lower order, has been successfully applied for seismic data denoising (Meng et al, 2014(Meng et al, , 2015 and was demonstrated to exhibit good performance compared to time-frequency peak filtering (TFPF) (Boashash and Mesbah, 2004;Roessgen and Boashash, 1994). By using an integral formula, which is based on Taylor-Poisson's formula and Fubini's theorem for an anti-diffusive term, and then taking the Fourier transform of the equation, the frequency response can be derived.…”
Section: Introductionmentioning
confidence: 99%
“…The fractal conservation law (FCL) filtering method (Azerad et al, 2012), which is simply the forward heat equation modified by a fractional anti-diffusive term of lower order, has been successfully applied for seismic data denoising (Meng et al, 2014(Meng et al, , 2015 and was demonstrated to exhibit good performance compared to time-frequency peak filtering (TFPF) (Boashash and Mesbah, 2004;Roessgen and Boashash, 1994). By using an integral formula, which is based on Taylor-Poisson's formula and Fubini's theorem for an anti-diffusive term, and then taking the Fourier transform of the equation, the frequency response can be derived.…”
Section: Introductionmentioning
confidence: 99%