On approximations via convolution-defined mixture models
Sign Up to like & getrecommendations! Published in 2018 at "Communications in Statistics - Theory and Methods"
DOI: 10.1080/03610926.2018.1487069
Abstract: Abstract An often-cited fact regarding mixing or mixture distributions is that their density functions are able to approximate the density function of any unknown distribution to arbitrary degrees of accuracy, provided that the mixing or… read more here.
Keywords: via convolution; convolution defined; defined mixture; mixture ... See more keywords
Seismic noise attenuation via convolution neural network with learningnoise prior
Sign Up to like & getrecommendations! Published in 2021 at "Exploration Geophysics"
DOI: 10.1080/08123985.2021.1886853
Abstract: The presence of noise degrades the quality of seismic data and makes the subsequent processing tasks and interpretation more challenging. Therefore, seismic noise attenuation is a key step in the p... read more here.
Keywords: seismic noise; attenuation via; noise attenuation; via convolution ... See more keywords