Noise reduction and estimation in multiple micro-electro-mechanical inertial systems
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Areawide Dynamic ROad traffic NoisE simulator-DRONE, been has developed by the integration of a road traffic noise prediction model (ASJ MODEL-1998) with road traffic simulator (AVENUE) which is further linked with GIS to provide areawide dynamic road traf ...
Noise radiated by different industrial structures that surround us in daily life are more and more considered as environmental pollution. Standards defining a tolerable sound level for each of these noise sources are regularly called into question and resp ...
We report on new magnetization studies on a two-dimensional electron system (2DES) revealing spin splitting of the Landau levels. For this, we have built a high-sensitive susceptometer consisting of a low-noise thin-film dc superconducting quantum interfer ...
This paper examines a number of chaos shift keying methods Different approaches for the optimization of the transmitter and the receiver (based on statistical arguments) are compared through simulation. Based on the results, The tradeoff between computatio ...
A new fuzzy filter is presented for the noise reduction of images corrupted with additive noise. The filter consists of two stages. The first stage computes a fuzzy derivative for eight different directions. The second stage uses these fuzzy derivatives to ...
We propose here a new pointwise wavelet thresholding function that incorporates inter-scale dependencies. This non-linear function depends on a set of four linear parameters per subband which are set by minimizing Stein's unbiased MSE estimate (SURE). Our ...
We develop an adaptive technique for resolving overlapping multipath components. The technique relies on replacing the least-squares operation needed for resolving overlapping components by a gradient-based adaptive filter with projections. The projections ...
Systematic and random errors inherently present in all inertial sensors contribute to the long-term divergence of the navigation solution of an Inertial Navigation System (INS). To keep such long-term divergence under control while taking advantage of thei ...
Multivariate Hawkes processes (MHP) are widely used in a variety of fields to model the occurrence of discrete events. Prior work on learning MHPs has only focused on inference in the presence of perfect traces without noise. We address the problem of lear ...