Prestack migration algorithms are usually divided into two classes: ray-tracing based migration methods and wave-equation methods. The latter methods provide more accurate migration images, especially in complex geological areas, but they are the relatively expensive compared with ray-based migration methods. In this work, I test the phase encoding strategy on three types of one-way wave equati...

Conventional rigid structure from motion (SFM) addresses the problem of recovering the camera parameters (motion) and the 3D locations (structure) of scene points, given observed 2D image feature points. In this chapter, we propose a new formulation called Semantic Structure From Motion (SSFM). In addition to the geometrical constraints provided by SFM, SSFM takes advantage of both semantic and...

BSP trees and a priori potential-occlusion-graph-based techniques may be uniied to produce a superior algorithm for visible surface determination involving a hybrid data structure in which BSP nodes are used where the simple graph-based algorithm breaks down. In particular, empirical results show around two to three times fewer split polygons for this method, 20{40% less run-time space needed, ...

This paper outlines an approach to modelling ultra long-haul DWDM links taking into account spectral variations of gain and noise in EDFAs. A black-box model is used to describe EDFA gain and noise figure tilt and full nonlinear simulations are carried out using the split-step Fourier method. The effect of pre-emphasis and power optimisation is investigated for a typical ultra long-haul link of...

A unified framework to optimize power discrimination for self-routing switching of solitonlike pulses in multiple-core fiber arrays is presented. This framework, based on the variational approach, is applicable to all-optical switching in N-core nonlinear fiber arrays for any configuration of the cores. By defining a quality factor as the product of the maxima of all the transmission curves cha...

Alternating minimization algorithms with a shrinkage step, derived within the Split Bregman (SB) or Alternating Direction Method of Multipliers (ADMM) frameworks, have become very popular for `-regularized problems, including Total Variation and Basis Pursuit Denoising. It appears to be generally assumed that they deliver much better computational performance than older methods such as Iterativ...

We studied the efficiency of different implementations of the split-step Fourier method for solving the nonlinear Schrödinger equation that employ different step size selection criteria. We compared the performance of the different implementations for a variety of pulse formats and systems including higher-order solitons, collisions of soliton pulses, a single-channel periodically-stationary di...

This paper presents an original method to evaluate air traffic complexity metrics. Several complexity indicators, found in the litterature, were implemented and computed, using recorded radar data as input. A principal component analysis (PCA) provides some results on the correlations between these indicators. Neural networks are then used to find a relationship between complexity indicators an...