Results 31 to 40 of about 72,925 (302)
Intelligent Sensors in Software: The Use of Parametric Models for Phase Noise Analysis
Intelligent senors have attracted particular attention in the recent past. This paper argues that an “intelligent sensor” should be able to perform on-board signal processing within the sensor’s software in order to produce the optimal signal output.
Dimosthenis Karatzas +7 more
core +1 more source
Random Weighting-Based Nonlinear Gaussian Filtering
The Gaussian filtering is a commonly used method for nonlinear system state estimation. However, this method requires both system process noise and measurement noise to be white noise sequences with known statistical characteristics.
Zhaohui Gao +4 more
doaj +1 more source
Random noise in Diffusion Tensor Imaging, its Destructive Impact and Some Corrections [PDF]
The empirical origin of random noise is described, its influence on DTI variables is illustrated by a review of numerical and in vivo studies supplemented by new simulations investigating high noise levels.
Hahn, K.R. +14 more
core +1 more source
Relaxation times in a bistable system with parametric, white noise: Theory and experiment [PDF]
We consider the effects of external, multiplicative white noise on the relaxation time of a general representation of a bistable system from the points of view provided by two, quite different, theoretical approaches: the classical Stratonovich decoupling of correlations and the new method due to Jung and Risken.
SANCHO JM +3 more
openaire +5 more sources
Compact conversion and cyclostationary noise modelling of pn junction diodes in low-injection - Part II: Discussion [PDF]
Starting from the compact conversion and cyclostationary pn diode noise model presented in the companion paper, we present an extensive validation based on comparisons with physics-based numerical simulations.
Bonani, Fabrizio +2 more
core +1 more source
This protocol paper outlines methods to establish the success of a time‐resolved serial crystallographic experiment, by means of statistical analysis of timepoint data in reciprocal space and models in real space. We show how to amplify the signal from excited states to visualise structural changes in successful experiments.
Jake Hill +4 more
wiley +1 more source
Random Matrix Theory Predictions of Dominant Mode Rejection Beamformer Performance
Adaptive beamformers use a sensor covariance matrix estimated from data snapshots to mitigate directional interference and attenuate uncorrelated noise.
Christopher Hulbert, Kathleen Wage
doaj +1 more source
Stochastic resonance in electrical circuits—II: Nonconventional stochastic resonance. [PDF]
Stochastic resonance (SR), in which a periodic signal in a nonlinear system can be amplified by added noise, is discussed. The application of circuit modeling techniques to the conventional form of SR, which occurs in static bistable potentials, was ...
Luchinsky, D. G. +7 more
core +1 more source
ABSTRACT Introduction Progressive Supranuclear Palsy (PSP) is a neurodegenerative ‘tauopathy’ with predominating pathology in the basal ganglia and midbrain. Caudal tau spread frequently implicates the cerebellum; however, the pattern of atrophy remains equivocal.
Chloe Spiegel +8 more
wiley +1 more source
Effects of noise on visual orienting [PDF]
Eleven experiments are reported which examine the effects of 90 dB (A) white noise on the processes which govern orienting of attention in visual space. The selectivity hypothesis argues that noise alters the priorities which govern stimulus selection so
Spencer, Martin Bramwell Howard
core

