Browsing by Subject "White noise"
Now showing items 1-8 of 8
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Adaptive Bayesian Inference Framework for Joint Model and Noise Identification
(2022)Model updating, the process of inferring a model from data, is prone to the adverse effects of modeling error, which is caused by simplification and idealization assumptions in the mathematical models. In this study, an ... -
Development of Wireless embedded system using ZigBEE protocol to avoid white Gaussian noise and 50 Hz Power line noise in ECG and Pressure Blood signals
(2008)Electrocardiogram (ECG) and Pressure blood is a main source for doctors to diagnose the health condition and pathology of heart. The magnitudes of ECG signals are usually approximate 1mV. The Electrocardiogram signals are ... -
Effect of musical stimuli and white noise on rainbow trout (Oncorhynchus mykiss) growth and physiology in recirculating water conditions
(2013)Two musical stimuli transmissions (Mozart and Romanza) as compared with white noise treatment or control, both resulted in significantly higher growth performance in juvenile (6.7 +/- 0.12 g) rainbow trout (Oncorhynchus ... -
Gilthead seabream (Sparus aurata) response to three music stimuli (Mozart-"Eine Kleine Nachtmusik," Anonymous-"Romanza," Bach-"Violin Concerto No. 1") and white noise under recirculating water conditions
(2015)This study presents the results of the response of Sparus aurata to three different musical stimuli, derived from the transmission (4 h per day, 5 days per week) of particular music pieces by Mozart, Romanza and Bach (140 ... -
Hierarchical Bayesian calibration and response prediction of a 10-story building model
(2019)This paper presents Hierarchical Bayesian model updating of a 10-story building model based on the identified modal parameters. The identified modal parameters are numerically simulated using a frame model (exact model) ... -
Hierarchical Bayesian operational modal analysis: Theory and computations
(2020)This paper presents a hierarchical Bayesian modeling framework for the uncertainty quantification in modal identification of linear dynamical systems using multiple vibration data sets. This novel framework integrates the ... -
A hybrid downscaling approach for the estimation of climate change effects on droughts using a geo-information tool. Case study: Thessaly, Central Greece
(2016)Multiple linear regression is used to downscale large-scale outputs from CGCM2 (second generation CGCM of Canadian centre for climate monitoring and analysis) and ECHAM5 (developed at the Max Planck Institute for Meteorology), ... -
Random vibration of linear systems with singular matrices based on Kronecker canonical forms of matrix pencils
(2021)A novel technique is developed for determining the stochastic response of linear dynamic systems with singular parameter matrices based on matrix pencil theoretical concepts and relying on Kronecker canonical forms (KCF). ...