Robust Mean Traveltime Curves in 2D Transmission Tomographic Surveys

Use of Advanced Computing in Tomographic Surveys

We adopt parallel computing and adaptive mesh refinement in a class of iterative inverse solution strategies for tomographic surveys. Due to the algorithmic structure of these inverse solvers, a combination of data parallelism and task parallelism is best suited. Targeting clusters of multicore processor chips, it also justifies to use a mixture of message passing and threads. Moreover, adaptiv...

Robust Vb 2d-celp Image Transmission over Cdma Fading Channels

| This paper describes a new error resilient analysis{by{synthesis coding scheme and its application for robust still image transmission over DS-CDMA Rayleigh fading channels. The channel uses Reed-Solo-mon (RS) outer codes concatenated with Convolutional inner codes, and truncated type-I hybrid ARQ protocol based on the selective repeat strategy and the RS error detection capability.

Designing Optimal Curves in 2D

The use of non-linear optimal curves for an intuitive design with interpolating curves is proposed. The curve design system is based on an optimization algorithm that can minimize a variety of optimality functionals, which are based on the integration of the curve length, curvature and curvature derivatives. Besides the to be interpolated points further constraints on the curve normals can be i...

Constraining modified growth patterns with tomographic surveys

Viable models of modified gravity designed to produce cosmic acceleration at the current epoch, closely mimic the ΛCDM model at the level of background cosmology. However, this degeneracy is generically broken at the level of linear perturbations, where the modifications induce a peculiar scale-dependent pattern. A similar pattern is expected in models of coupled dark energy. I present the main...

Robust Freeway Traveltime Prediction with State-space Neural Networks