Enhanced collective detection for GNSS weak signals acquisition in Rayleigh channel

2018 ◽  
Vol 36 (4) ◽  
pp. 332-351
Author(s):  
Dehouche Siham ◽  
Hamadouche Mhamed
Keyword(s):  
Weak Signals ◽  
Rayleigh Channel ◽  
Collective Detection

The influence of confocal microscope design on imaging performance

1993 ◽  
Vol 51 ◽  
pp. 144-145
Author(s):  
C J R Sheppard
Keyword(s):  
Image Quality ◽  
Fluorescence Imaging ◽  
Confocal Microscope ◽  
Industrial Applications ◽  
Three Dimensions ◽  
Design Parameters ◽  
Weak Signals ◽  
Size And Shape ◽  
Imaging Performance ◽  
Fundamental Limitation

The confocal microscope is now widely used in both biomedical and industrial applications for imaging, in three dimensions, objects with appreciable depth. There are now a range of different microscopes on the market, which have adopted a variety of different designs. The aim of this paper is to explore the effects on imaging performance of design parameters including the method of scanning, the type of detector, and the size and shape of the confocal aperture.It is becoming apparent that there is no such thing as an ideal confocal microscope: all systems have limitations and the best compromise depends on what the microscope is used for and how it is used. The most important compromise at present is between image quality and speed of scanning, which is particularly apparent when imaging with very weak signals. If great speed is not of importance, then the fundamental limitation for fluorescence imaging is the detection of sufficient numbers of photons before the fluorochrome bleaches.

Latency distributions in the detection of weak signals in noise

1964 ◽  
Author(s):  
Edwin C. Carterette ◽  
Morton P. Friedman ◽  
Robert Cosmujes
Keyword(s):  
Weak Signals ◽  
Latency Distributions ◽  
Detection Of Weak Signals

Collective Detection of Motion in the Presence of Noise

1986 ◽  
Vol 56 (10) ◽  
pp. 1094-1097 ◽  
Author(s):  
W. P. Keirstead ◽  
B. A. Huberman
Keyword(s):  
Collective Detection

A computational tool for weak signals classification – Detecting threats and opportunities on politics in the cases of the United States and Brazilian presidential elections

Futures ◽  
2020 ◽  
Vol 123 ◽  
pp. 102607
Author(s):  
Pedro Ivo Garcia-Nunes ◽  
Pedro Artico Rodrigues ◽  
Kaulitz Guimarães Oliveira ◽  
Ana Estela Antunes da Silva
Keyword(s):  
United States ◽  
Presidential Elections ◽  
The United States ◽  
Computational Tool ◽  
Weak Signals

scholarly journals A Study on the Characteristics of Academic Topics Related to Renewable Energy Using the Structural Topic Modeling and the Weak Signal Concept

Energies ◽  
2021 ◽  
Vol 14 (5) ◽  
pp. 1497
Author(s):  
Chankook Park ◽  
Minkyu Kim
Keyword(s):  
Renewable Energy ◽  
Energy Storage ◽  
Topic Modeling ◽  
Academic Research ◽  
High Rate ◽  
Weak Signals ◽  
Energy Potential ◽  
Rate Of Increase ◽  
Probabilistic Topic Modeling ◽  
To Receive

It is important to examine in detail how the distribution of academic research topics related to renewable energy is structured and which topics are likely to receive new attention in the future in order for scientists to contribute to the development of renewable energy. This study uses an advanced probabilistic topic modeling to statistically examine the temporal changes of renewable energy topics by using academic abstracts from 2010–2019 and explores the properties of the topics from the perspective of future signs such as weak signals. As a result, in strong signals, methods for optimally integrating renewable energy into the power grid are paid great attention. In weak signals, interest in large-capacity energy storage systems such as hydrogen, supercapacitors, and compressed air energy storage showed a high rate of increase. In not-strong-but-well-known signals, comprehensive topics have been included, such as renewable energy potential, barriers, and policies. The approach of this study is applicable not only to renewable energy but also to other subjects.

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