Solving differential equations with topological acoustic metamaterials
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Real-world phenomena involve complex interactions between multiple signal modalities. As a consequence, humans are used to integrate at each instant perceptions from all their senses in order to enrich their understanding of the surrounding world. This par ...
We aim at developing autonomous micro-flyers capable of navigating within houses or small indoor environments using vision as principal source of information. Due to severe weight and energy constraints, inspiration is taken from the fly for the selection ...
In this paper we present current mode, programmable, binary tree MIN/MAX filters designed for nonlinear data processing. Proposed circuits can be used in image filtration, to realize operations such as erosion or dilatation that are useful in noise reducti ...
Problems that exhibit multiple time scales arise frequently in many scientific and engineering fields. The modeling and simulation of such systems leads naturally to singular perturbation models. For systems of partial differential-algebraic equations (PDA ...
The distance to instability of a matrix A is a robust measure for the stability of the corresponding dynamical system x = Ax, known to be far more reliable than checking the eigenvalues of A. In this paper, a new algorithm for computing such a distance is ...
A method to solve weakly non-linear partial differential equations with Volterra series is presented in the context of single-input systems. The solution x(z,t) is represented as the output of a z-parameterized Volterra system, where z denotes the space va ...
The Karhunen-Loeve transform is a key element of many signal processing tasks, including classification and compression. In this paper, we consider distributed signal processing scenarios with limited communication between correlated sources, and we invest ...
A 64-by-64-pixel CMOS single-photon avalanche diode (SPAD) imager for time-resolved fluorescence detection features actively quenched and reset pixels, allowing gated detection to eliminate pile-up nonlinearities common to most time-correlated single-photo ...
The main objective was to show that the acoustic tomography constitutes a new method to investigate the main hydrodynamical processes of the lake of Geneva. The work is based of the various related fields to the tomography, namely : acoustic wave propagati ...
The Karhunen-Loeve transform (KLT) is a key element of many signal processing tasks, including approximation, compression, and classification. Many recent applications involve {\em distributed} signal processing where it is not generally possible to apply ...