Distributed signal processing algorithms have become a key approach for statistical inference in wireless networks and applications such as wireless sensor networks and smart grids. It is well known that distributed processing techniques deal with the extraction of information from data collected at nodes that are distributed over a geographic area. In this context, for each specific node, a se...

We describe our approach to computing accurate solutions for time dependent fluid flows in complex geometry. We use regular, embedded, Cartesian grids wherever possible. We describe our adaptive mesh refinement algorithm and our strategy for treating geometric complexity using non-body-fitted Cartesian grids. The trade-offs of block-structured vs. unstructured data structures are presented. Sev...

A computationally efficient acoustic ray-tracing code based on unstructured adaptive grids is described in detail. The use of unstructured grids allows wave propagation simulations on complex computational domains. Detailed surface layer physics is included to take into account the atmospheric variability under different stability conditions and landuse inhomogeneities. The ray-tracing model ha...

We propose a deterministic method designed for unsteady flows, based on a discretization of the Boltzmann (BGK) equation with local adaptive velocity grids. These grids dynamically adapt in time and space to the variations of the width of the distribution functions. This allows a significant reduction of the memory storage and CPU time, as compared to standard discrete velocity methods, and avo...

A new method for adaptive tessellation of threedimensional (3-D) grids is presented. A mixed-element decomposition method is introduced for local refinement of fully unstructured grids, consisting of tetrahedra and octahedra. The method preserves the shape of the elements of the initial grid and therefore the element quality. Furthermore, local anisotropies of the initial grid are preserved. Th...

Often, the quality of the results in a noise map is expressed as a comparison between measured and calculated noise levels at several sample locations spread over the map. Although, under some circumstances this could be considered as a valid approximation, it excludes from the noise mapping process two very important stages: interpolation and classification. The two tasks must be applied to ob...

the present paper investigates the advantages of a new class of composite grid structures over conventional grids. thus far, a known grid structure such as orthogrid or isogrid has been used as an orthotropic layer with at most in-plane anisotropy. the present laminated grid is composed of various numbers of thin composite grid layers. the stiffness of the structure can be adjusted by choosing ...