activity
20172020
most citedApplication of shifted-Laplace preconditioners for heterogenous Helmholtz equation- part 1: Data modelling

1 citations · 2 across the 5 of their papers we have counts for

collaborators

6 papers

eess.SP2020

Across-domains transferability of Deep-RED in de-noising and compressive sensing recovery of seismic data

Nasser Kazemi

In the past decade, deep learning algorithms gained a remarkable interest in the signal processing community. The availability of big datasets and advanced computational resources…

physics.geo-ph2019★ 1 cited

Least-squares RTM of a seismic-while-drilling dataset

Nasser Kazemi, Daniel Trad, Kris Innanen +1

Least-squares migration can, in theory, reduce the acquisition footprint and improve the illumination of the subsurface structures. It can also recover the amplitudes of the events…

math.NA2017

Block row recursive least squares migration

Nasser Kazemi, Mauricio Sacchi

Recursive estimates of large systems of equations in the context of least squares fitting is a common practice in different fields of study. For example, recursive adaptive filteri…

physics.geo-ph2017

Statics Preserving Sparse Radon Transform

Nasser Kazemi

This paper develops a Statics Preserving Sparse Radon transform (SPSR) algorithm.The de-coloration power of Radon basis functions depends on different factors. The most important o…

physics.geo-ph2017

Application of shifted-Laplace preconditioners for heterogenous Helmholtz equation- part 2: Full waveform inversion

Nasser Kazemi

Seismic waves bring information from the physical properties of the earth to the surface. Full waveform inversion (FWI) is a local optimization technique which tries to invert the…

physics.geo-ph2017★ 1 cited

Application of shifted-Laplace preconditioners for heterogenous Helmholtz equation- part 1: Data modelling

Nasser Kazemi

In several geophysical applications, such as full waveform inversion and data modelling, we are facing the solution of inhomogeneous Helmholtz equation. The difficulties of solving…