Effects of measuring system parameters on the frequency dependence of strain-related potentials in bone

1979 ◽  
Vol 17 (4) ◽  
pp. 471-475 ◽  
Author(s):  
M. A. ElMessiery ◽  
G. W. Hastings ◽  
S. Rakowski
Keyword(s):  
Frequency Dependence ◽  
Measuring System ◽  
System Parameters ◽  
Related Potentials

scholarly journals Distributed Robust Kalman Filtering with Unknown and Noisy Parameters in Sensor Networks

2018 ◽  
Vol 2018 ◽  
pp. 1-11 ◽  
Author(s):  
Donghua Chen ◽  
Ya Zhang ◽  
Cheng-Lin Liu ◽  
Yangyang Chen
Keyword(s):  
Kalman Filter ◽  
Sensor Networks ◽  
Kalman Filtering ◽  
Estimation Error ◽  
Measuring System ◽  
Mean Square ◽  
System Matrix ◽  
Estimation Errors ◽  
System Parameters ◽  
The Mean

This paper investigates the distributed filtering for discrete-time-invariant systems in sensor networks where each sensor’s measuring system may not be observable, and each sensor can just obtain partial system parameters with unknown coefficients which are modeled by Gaussian white noises. A fully distributed robust Kalman filtering algorithm consisting of two parts is proposed. One is a consensus Kalman filter to estimate the system parameters. It is proved that the mean square estimation errors for the system parameters converge to zero if and only if, for any one system parameter, its accessible node subset is globally reachable. The other is a consensus robust Kalman filter to estimate the system state based on the system matrix estimations and covariances. It is proved that the mean square estimation error of each sensor is upper-bounded by the trace of its covariance. An explicit sufficient stability condition of the algorithm is further provided. A numerical simulation is given to illustrate the results.

THE MONITORING SYSTEM OF THE WATER ENVIRONMENT HYDROPHYSICAL FIELDS

2020 ◽  
Vol 5 ◽  
pp. 153-164
Author(s):  
E.O. SAVKOVA ◽  
O.V. CHENGAR ◽  
V.I. SHEVCHENKO
Keyword(s):  
Fine Structure ◽  
Detailed Analysis ◽  
Monitoring System ◽  
Measurement Accuracy ◽  
Water Environment ◽  
Measuring System ◽  
Information Flows ◽  
System Parameters ◽  
The Cost ◽  
Selected Functions

The article considers the functions performed by the system for monitoring the fine structure of the water environment hydrophysical fields, starting from initialization the system parameters to visualization the received information. As a result of a detailed analysis the selected functions, which consists in determining the input information flows, their representation and transformation, a functional diagram of the measuring system for monitoring the fine structure of the water environment hydrophysical fields was developed, which allows reducing the cost of conducting sounding and ensuring the necessary measurement accuracy, thanks to the chosen sensing strategy and the use of a database of simulated parameters of turbulated layers .

Models of Cataclysmic Variables from Photometric and Spectroscopic Data

1979 ◽  
Vol 46 ◽  
pp. 65-74 ◽  
Author(s):  
A.C. Fabian ◽  
J.E. Pringle ◽  
J.A.J. Whelan ◽  
J.A. Bailey
Keyword(s):  
Spectroscopic Data ◽  
Cataclysmic Variables ◽  
System Parameters ◽  
Dwarf Nova ◽  
Spectroscopic Observations ◽  
Photometric And Spectroscopic Observations

Abstract.Recent photometric and spectroscopic observations of the dwarf nova system Z Cha are discussed. Methods for constraining the system parameters are applied and the disc emissivity is deduced as a function of radius. Indications are found that the disc shrinks in size with increasing time after outburst.

Sensory and Cognitive Components of Auditory Processing in Individuals With Tinnitus

2019 ◽  
Vol 28 (4) ◽  
pp. 834-842
Author(s):  
Harini Vasudevan ◽  
Hari Prakash Palaniswamy ◽  
Ramaswamy Balakrishnan
Keyword(s):  
Selective Attention ◽  
Auditory Processing ◽  
Function Analysis ◽  
Event Related Potential ◽  
Oscillatory Activity ◽  
Default Mode ◽  
Auditory Selective Attention ◽  
Cognitive Components ◽  
Mode Function ◽  
Related Potentials

Purpose The main purpose of the study is to explore the auditory selective attention abilities (using event-related potentials) and the neuronal oscillatory activity in the default mode network sites (using electroencephalogram [EEG]) in individuals with tinnitus. Method Auditory selective attention was measured using P300, and the resting state EEG was assessed using the default mode function analysis. Ten individuals with continuous and bothersome tinnitus along with 10 age- and gender-matched control participants underwent event-related potential testing and 5 min of EEG recording (at wakeful rest). Results Individuals with tinnitus were observed to have larger N1 and P3 amplitudes along with prolonged P3 latency. The default mode function analysis revealed no significant oscillatory differences between the groups. Conclusion The current study shows changes in both the early sensory and late cognitive components of auditory processing. The change in the P3 component is suggestive of selective auditory attention deficit, and the sensory component (N1) suggests an altered bottom-up processing in individuals with tinnitus.

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