scholarly journals Selection of Sampling Interval and Size of Random Sample for Radar Detection in the Moments Space

2021 ◽  
Author(s):  
Camilo Guillén ◽  
Giorgia Rodríguez ◽  
Nelson Chávez
Keyword(s):  
Random Sample ◽  
Joint Distribution ◽  
Goodness Of Fit ◽  
Sampling Interval ◽  
Radar Detection ◽  
Average Correlation ◽  
Signal Parameters ◽  
Sample Average ◽  
Novel Method ◽  
Selection Of

Recently a novel method for radar detection was conceived to process the scattered signal parameters and detect through its statistical moments. Among the advantages of detection in the moments space stands the opportunity of considering the moments like Gaussian random variables, decreasing the uncertainty about the distribution of the variables used by traditional methods. Therefore, it is very important to study the conditions for assuming the above within certain level of confidence. This work uses real radar signals in order to study the influence of two essential variables for detection in the moments space: the sampling interval and the size of the random sample. Average correlation coefficient, hypothesis testing and numerical goodness-of-fit coefficients are used to estimate the values of the previous variables that allow to take the joint distribution of moments as close to the multivariate Gaussian. The guidelines presented should be taken into account for the proper configuration of detectors in the moments space.

Adaptive Selection of Sampling Interval in Frequency Domain for Estimating the Poles of Scatterers

PIERS Online ◽  
2007 ◽  
Vol 3 (1) ◽  
pp. 106-110
Author(s):  
Shaogang Wang ◽  
Xinpu Guan ◽  
Dangwei Wang ◽  
Xingyi Ma ◽  
Yi Su
Keyword(s):  
Frequency Domain ◽  
Sampling Interval ◽  
Adaptive Selection ◽  
Selection Of

A novel method for the design and selection of neutron-attenuating media

2021 ◽  
Vol 160 ◽  
pp. 108368
Author(s):  
Abdullah G. Weiss ◽  
Moiz I. Butt ◽  
Pavel V. Tsvetkov ◽  
Mark L. Kimber ◽  
Sean M. McDeavitt
Keyword(s):  
Novel Method ◽  
Selection Of

scholarly journals Tuning of a Linear-Quadratic Stabilization System for an Anti-Aircraft Missile

Aerospace ◽  
2021 ◽  
Vol 8 (2) ◽  
pp. 48
Author(s):  
Witold Bużantowicz
Keyword(s):  
Analytical Solutions ◽  
Feedback Loop ◽  
Linear Quadratic Regulator ◽  
Added Value ◽  
Tuning Parameter ◽  
Stabilization System ◽  
Linear Quadratic ◽  
Quadratic Stabilization ◽  
Novel Method ◽  
Selection Of

A description is given of an application of a linear-quadratic regulator (LQR) for stabilizing the characteristics of an anti-aircraft missile, and an analytical method of selecting the weighting elements of the gain matrix in feedback loop is proposed. A novel method of LQR tuning via a single parameter ς was proposed and tested. The article supplements and develops the topics addressed in the author’s previous work. Its added value includes the observation that the solutions obtained are symmetric pairs, and that the tuning parameter ς proposed for the designed linear-quadratic regulator enables the selection of suitable parameters for the airframe stabilizing loop for the majority of the analytical solutions of the considered Riccati equation.

A novel method for predicting variant selection of {101¯2} twins in pure hafnium

2021 ◽  
pp. 130738
Author(s):  
Yingdong Zhang ◽  
Geping Li ◽  
Fusen Yuan ◽  
Fuzhou Han ◽  
Muhammad Ali ◽  
...  
Keyword(s):  
Variant Selection ◽  
Novel Method ◽  
Selection Of

Questions Collaborative Dexamethasone Trial

PEDIATRICS ◽  
1992 ◽  
Vol 89 (6) ◽  
pp. 1266-1266
Author(s):  
ROSAMOND JONES ◽  
ADRIAN GRANT ◽  
Keyword(s):  
Clinical Practice ◽  
Random Sample ◽  
Human Beings ◽  
Eligibility Criteria ◽  
Clinical Uncertainty ◽  
Trial Entry ◽  
Selection Of

In Reply.— We are glad to respond to Dr MacMahon's letter about the generalizability of the results of our trial. Basing trial entry on `clinical uncertainty' is actually one of the strengths of this trial.1 No trial can ever include a random sample of all human beings who meet the eligibility criteria; there is always selection of subjects (whatever the entry criteria). Inevitably, therefore, at some point there has to be a leap of faith from the evidence to clinical practice.2

scholarly journals Optimum Selection of Wind Turbines Using Normalized Power and Capacity Factor Curves

2021 ◽  
pp. 2813-2823
Author(s):  
Firas A. Hadi ◽  
Zaid F. Makki ◽  
Rafa A. Al-Baldawi
Keyword(s):  
Wind Turbine ◽  
Performance Index ◽  
Shape Parameter ◽  
Parameters Estimation ◽  
Capacity Factor ◽  
Turbine Performance ◽  
Optimum Selection ◽  
Novel Method ◽  
A Site ◽  
Selection Of

The main objective of this paper is present a novel method to choice a certain wind turbine for a specific site by using normalized power and capacity factor curves. The site matching is based on identifying the optimum turbine rotation speed parameters from turbine performance index (TPI) curve, which is obtained from the higher values of normalized power and capacity factor curves. Wind Turbine Performance Index a new ranking parameter, is defined to optimally match turbines to wind site. The relations (plots) of normalized power, capacity factor, and turbine performance index versus normalized rated wind speed are drawn for a known value of Weibull shape parameter of a site, thus a superior method is used for Weibull parameters estimation which is called Equivalent Energy Method (EEM).

scholarly journals Use of Spline Functions for Premium Rating by Geographic Area

1989 ◽  
Vol 19 (1) ◽  
pp. 91-122 ◽  
Author(s):  
G. C. Taylor
Keyword(s):  
Goodness Of Fit ◽  
Geographic Area ◽  
Spline Functions ◽  
Bivariate Splines ◽  
Contour Maps ◽  
Bivariate Spline ◽  
Spline Surfaces ◽  
Insurance Portfolio ◽  
Selection Of

AbstractThe paper gives details of a case study in the premium rating of a Householders Contents insurance portfolio. The rating is performed by the fitting of bivariate spline functions to a version of operating ratio described in Section 3.The use of bivariate splines requires a small amount of mathematical equipment, which is developed in Section 4. The fitting of splines, using regression is carried out in Sections 5 and 6, where the numerical results are given, including some assessment of goodness-of-fit.Contour maps of the spline surfaces are also given, and used for the selection of geographic areas used for premium rating purposes. These are compared with the areas, past and present, actually used by the insurer concerned.

The Selection of Samples from Large Sherd Collections

1964 ◽  
Vol 29 (4) ◽  
pp. 467-473 ◽  
Author(s):  
George L. Cowgill
Keyword(s):  
Random Sample ◽  
Absolute Size ◽  
Selection Of

AbstractWhen sherd collections are enormous, it is extremely desirable to have procedures for discarding portions of the material which minimize risks of losing useful information and are easy to apply. It is suggested that sherd lots be made the sampling units. Lots from each provenience category relevant for a given problem can be listed, and then a random sample of lots from each category included in the sample. Since the value of a sample depends more on its absolute size than on the proportion of the population it represents, it is suggested that ceramic categories be roughly ranked according to their scarcity. A relatively small number of lots from each provenience category will provide an adequate sample of common ceramic categories, while a larger number of lots are needed for rare categories. This procedure insures that certain lots will be preserved in their entirety, while common sherd categories may be discarded from other lots if they do not add much to any sample of interest.

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