Results 211 to 220 of about 178,865 (261)

A classification scheme for software modules

Journal of Systems and Software, 1998
Abstract The current abstract view of the detailed architecture of a software program simply focuses on a set of modules that interact with each other. The pictorial view of the architecture of modules abstracts to a directed, connected, acyclic graph whose nodes are modules and whose arcs reveal the reference dependency relationship.
Robert C. Shock, Thomas C. Hartrum
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Comparison of Automatic Modulation Classification Techniques

Journal of Communications, 2022
The advancement of digital communication and technology triggered new challenges related to the channel and radio spectrum utilization. From the other hand, real-time communications are keen of time where requests need to be processed in very short time.
Salah Ayad Jassim, Ibrahim Khider
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Hybrid digital modulation classification

2012 8th International Wireless Communications and Mobile Computing Conference (IWCMC), 2012
In this paper, a hybrid modulation classification via Kolmogorov-Smirnov test and cumulant test method for the cognitive network has been proposed. The modulation classification is a method to evaluate the unknown modulation format. In cognitive systems, the cognitive users (CR) can classify the modulation formats of the primary users (PR), which helps
Yuanxuan Li, Fanggang Wang, Gang Zhu
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Modulation classification by Hilbert-Huang Transform

2013 21st Signal Processing and Communications Applications Conference (SIU), 2013
The problem of identifying the modulation type of the signals at the receiver, is very helpful intermediate step for spectrum sensing which the cognitive radio systems are commonly used today. In this study, Hilbert-Huang Transform is proposed for identifying the modulation type of digitally modulated signals in the noisy environments.
Yesim Hekim Tanc, Aydin Akan
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A classification of Breuil modules

Israel Journal of Mathematics, 2021
``Breuil modules are semi-linear algebra objects that correspond to \(\bmod p\) reductions of geometric Galois representations, initiated by \textit{C. Breuil} [Duke Math. J. 95, No. 3, 523--620 (1998; Zbl 0961.14010)] and developed mainly in [\textit{X. Caruso}, J. Reine Angew. Math. 594, 35--92 (2006; Zbl 1134.14013)], and [\textit{M.
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Classification of mixed modules

Acta Mathematica Hungarica, 1996
The authors describe a scheme for the classification of mixed modules over a discrete valuation domain \(R\) whose torsion submodule is a direct sum of cyclic modules and whose torsion-free quotient is a vector space over the field of fractions of \(R\).
Mutzbauer, O., Toubassi, E.
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Classification of chitinases modules

1999
Chitinases frequently display a modular structure featuring a catalytic domain attached to one or several ancillary noncatalytic domains whose function is often chitin binding. Gene cloning and DNA sequencing have allowed the determination of a massive number of amino acid sequences of chitinases during the last 10 years.
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Embedded Modules for Speaker Classification

2008 IEEE International Conference on Semantic Computing, 2008
Classifying speakers and their context is a research topic that increasingly finds its way into market-ready products. This paper describes how a speech-based classification problem can be split into components that are then combined in a classification module, which can be compiled for a specific platform and scenario with its respective technical ...
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Automatic Modulation Classification using DenseNet

2021 5th International Conference on Computer, Communication and Signal Processing (ICCCSP), 2021
Wireless Communication over long distances has revolutionised the way world works, functions and interacts.Modulation of a signal containing information has made all this possible.The identification of modulation type of a signal forms an integral part in several military and civilian applications.While the classical approaches of modulation ...
Sameera Shaik, S. Kirthiga
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Sequential modulation classification of dependent samples

1996 IEEE International Conference on Acoustics, Speech, and Signal Processing Conference Proceedings, 2002
We classify the modulation scheme of a received signal waveform modeled by a finite state Markov chain. We compare the likelihood ratio test (LRT) known as a fixed-sample-size classifier, which uses a fixed amount of data, and the sequential probability ratio test (SPRT) known as a fixed-error-rate classifier, which uses a variable amount of data just ...
Yu-Chuan Lin, C.-C. Jay Kuo
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