Results 231 to 240 of about 450,675 (283)

Iterative Interference Modulation Classification

2014 IEEE 79th Vehicular Technology Conference (VTC Spring), 2014
In the presence of co-channel interference in cellular networks, interference mitigation by detecting the desired signal jointly with the interference promises considerable gain over the conventional way of handling the interference as colored Gaussian.
Yoojin Choi, Dongwoon Bai, Jungwon Lee, Inyup Kang   +3 more
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Modulation Classification in MIMO Systems

MILCOM 2013 - 2013 IEEE Military Communications Conference, 2013
Blind modulation classification is an important aspect of today's military systems and is projected to play equal important role in future cognitive radio systems. Modulation classification in MIMO systems present the added difficulty of having to deal with a set of mixed signals as they are received at the receiving antenna array.
Emmanuel Kanterakis, Wei Su
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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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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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ON THE CLASSIFICATION OF \alpha-KRULL MODULES

JP Journal of Algebra, Number Theory and Applications, 2018
Summary: It is proved that for any ring \(R\) and right \(R\)-module \(M\), if \(M\) is \(\alpha\)-Krull (i.e., for each submodule \(N\) of \(M\), either \(k\)-dim \(N\leq\alpha\) or \(k\)-\(\dim\frac{M}{N}\leq\alpha\) and \(\alpha\) is the least ordinal number with this property), then \(k\)-\(\dim M=\alpha\) or \(k\)-\(\dim M=\alpha+1\). The main aim
Javdannezhad, S. M., Shirali, N.
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On the Classification and Evolution of Protein Modules

Journal of Protein Chemistry, 1997
Our efforts to classify the functional units of many proteins, the modules, are reviewed. The data from the sequencing projects for various model organisms are extremely helpful in deducing the evolution of proteins and modules. For example, a dramatic increase of modular proteins can be observed from yeast to C.
H, Hegyi, P, Bork
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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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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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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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LSTM-based Automatic Modulation Classification

2020 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB), 2020
Recently, automatic modulation classification (AMC) has been studied by more and more researchers, and a host of methods based on deep learning have been proposed. Different from image data, signal data is a sequence that changes with time, and has temporal characteristics. Like the spatial feature, the temporal feature cannot be ignored. In this paper,
Quan Zhou 0008, Xiaojun Jing, Yuan He 0009, Yuanhao Cui, Michel Kadoch, Mohamed Cheriet   +5 more
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