Performance analysis of frequency estimation method of miniature end-plate potential occurrences by Monte Carlo simulations

2002 ◽  
Author(s):  
H. Mino
Keyword(s):  
Monte Carlo ◽  
Performance Analysis ◽  
Monte Carlo Simulations ◽  
Frequency Estimation ◽  
Estimation Method ◽  
End Plate

scholarly journals An Inclusive Performance Analysis of Single-branch Single-relay AF Transmission in a Mixed Rayleigh-Nakagami-m Fading Environment

2019 ◽  
Vol 3 ◽  
pp. 39-48
Author(s):  
Slimane Benmahmoud
Keyword(s):  
Monte Carlo ◽  
Performance Analysis ◽  
Monte Carlo Simulations ◽  
Ergodic Capacity ◽  
Upper Bounds ◽  
Amplify And Forward ◽  
Single Relay ◽  
Analytical Expressions ◽  
Af Relaying ◽  
Single Branch

In this paper, the end-to-end performance of a single-branch two-hop amplify-and-forward (AF) relaying network in a mixed Rayleigh-Nakagami-m fading environment, is investigated. Four different fading scenarios and three standard relay configurations for each scenario are considered. Exact analytical expressions for the outage probability and tight upper bounds for the ergodic capacity are derived. Results of Monte Carlo simulations are provided to verify the accuracy of the analytical results.

Exact Cram’er–Rao Lower Bound for Interferometric Phase Estimator

2014 ◽  
Vol 1004-1005 ◽  
pp. 1419-1426
Author(s):  
Zhi Jie Mao ◽  
Zhi Jun Yan ◽  
Hong Wei Li ◽  
Jin Meng
Keyword(s):  
Monte Carlo ◽  
Performance Analysis ◽  
Lower Bound ◽  
Monte Carlo Simulations ◽  
Phase Estimation ◽  
Interferometric Phase ◽  
Estimation Problems ◽  
General Phase ◽  
Cramer Rao Lower Bound ◽  
Close Form

We are concerned with the problem of interferometric phase estimation using multiple baselines. Simple close-form efficient expressions for computing the Cramer-Rao lower bound (CRLB) for general phase estimation problems is derived. Performance analysis of the interferometric phase estimation is carried out based on Monte Carlo simulations and CRLB calculation. We show that by utilizing the Cramer-Rao lower bound we are able to determine the combination of baselines that will enable us to achieve the most accurate estimating performance.

scholarly journals A Simple Estimator for Dynamic Models with Serially Correlated Unobservables

2017 ◽  
Vol 6 (1) ◽  
Author(s):  
Yingyao Hu ◽  
Matthew Shum ◽  
Wei Tan ◽  
Ruli Xiao
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Simulations ◽  
Dynamic Models ◽  
Estimation Method ◽  
The State ◽  
Pharmaceutical Drugs ◽  
State Variables ◽  
Elementary Matrix ◽  
Over Time

AbstractWe present a method for estimating Markov dynamic models with unobserved state variables which can be serially correlated over time. We focus on the case where all the model variables have discrete support. Our estimator is simple to compute because it is noniterative, and involves only elementary matrix manipulations. Our estimation method is nonparametric, in that no parametric assumptions on the distributions of the unobserved state variables or the laws of motions of the state variables are required. Monte Carlo simulations show that the estimator performs well in practice, and we illustrate its use with a dataset of doctors’ prescription of pharmaceutical drugs.

Low-voltage EDS of magnesium ferrite Dendrites in a FEG-SEM

1996 ◽  
Vol 54 ◽  
pp. 478-479
Author(s):  
Matthew T. Johnson ◽  
Ian M. Anderson ◽  
Jim Bentley ◽  
C. Barry Carter
Keyword(s):  
Monte Carlo ◽  
Quantitative Analysis ◽  
Monte Carlo Simulations ◽  
Cross Section ◽  
Spatial Resolution ◽  
Low Voltage ◽  
Magnesium Ferrite ◽  
X Ray ◽  
Interaction Volume ◽  
Ferrite Spinel

Energy-dispersive X-ray spectrometry (EDS) performed at low (≤ 5 kV) accelerating voltages in the SEM has the potential for providing quantitative microanalytical information with a spatial resolution of ∼100 nm. In the present work, EDS analyses were performed on magnesium ferrite spinel [(MgxFe1−x)Fe2O4] dendrites embedded in a MgO matrix, as shown in Fig. 1. spatial resolution of X-ray microanalysis at conventional accelerating voltages is insufficient for the quantitative analysis of these dendrites, which have widths of the order of a few hundred nanometers, without deconvolution of contributions from the MgO matrix. However, Monte Carlo simulations indicate that the interaction volume for MgFe2O4 is ∼150 nm at 3 kV accelerating voltage and therefore sufficient to analyze the dendrites without matrix contributions.Single-crystal {001}-oriented MgO was reacted with hematite (Fe2O3) powder for 6 h at 1450°C in air and furnace cooled. The specimen was then cleaved to expose a clean cross-section suitable for microanalysis.

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