Linear Wavefield Optimization Usinga Modified Source

Modified GA Optimization of Linear Sparse Array

With a goal to optimize the element positions to reduce the peak sidelobe level (PSLL) of the array pattern, a modified real Genetic Algorithms (MGA) for the synthesis of sparse linear arrays is described. The multiple optimization constrains include the number of elements, the aperture and the minimum element spacing. The advanced new approach reduces the size of the searching area of GA by me...

UsingA Genetic

Source-independent full wavefield converted-phase elastic migration velocity analysis

S U M M A R Y Converted phase (CP) elastic seismic signals are comparable in amplitude to the primary signals recorded at large offsets and have the potential to be used in seismic imaging and velocity analysis. We present an approach for CP elastic wave equation velocity analysis that does not use source information and is applicable to surface-seismic, microseismic, teleseismic and vertical s...

A Modified Nonlinear Optimization Method for MEG Source Localization

-Magnetoencephalography (MEG) is a noninvasive technique for investigating neuronal activity in the living human brain, being of good time and spatial resolution. This paper discusses MEG’s basic theory. The key question in the analysis is the search for the unknown sources by analysis of the measured magnetic field data, this inverse problem not having the unique solution, so adding some restr...

Acoustic wavefield evolution as function of source location perturbation

The wavefield is typically simulated for seismic exploration applications through solving the wave equation for a specific seismic source location. The direct relation between the form (or shape) of the wavefield and the source location can provide insights useful for velocity estimation and interpolation. As a result, I derive partial differential equations that relate changes in the wavefield...