Results 21 to 30 of about 178,865 (261)
The classification of special Cohen–Macaulay modules [PDF]
36 pages, minor revision, to appear in Math ...
Iyama, Osamu, Wemyss, Michael
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A Recognition Algorithm for Modulation Schemes by Convolution Neural Network and Spectrum Texture
The recognition of modulation schemes for communication signals is an important part of communication surveillance and spectrum monitoring. An algorithm based on deep learning and spectrum texture is proposed to recognize modulation schemes.
doaj +1 more source
Classification of compatible module orderings
Let \(R\) be the polynomial ring over the field \(k\) in the indeterminates \(x_1,\dots,x_n\) and let \(M\) be any finitely generated free module over \(R\). Put \(T^n=\{x_1^{a_1} \dots x_n^{a_n} \mid a_i\in \mathbb{N}\}\) and \(MT(M)= \{te_i\mid t\in T^n\}\), where \(\{e_i\}_{i\in S}\) is the set of unitary vectors of \(M\).
CABOARA, MASSIMO, M. SILVESTRI
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Optimized Classification of Intelligent Reflecting Surface (IRS)-Enabled GEO Satellite Signals
The intelligent reflecting surface (IRS) is a cutting-edge technology for cost-effectively achieving future spectrum- and energy-efficient wireless communication.
Mamoona Jamil +6 more
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On the algebraic classification of module spectra [PDF]
39 ...
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Automatic modulation classification of noise‐like radar intrapulse signals using cascade classifier
Automatic modulation classification is essential in radar emitter identification. We propose a cascade classifier by combining a support vector machine (SVM) and convolutional neural network (CNN), considering that noise might be taken as radar signals ...
Xianpeng Meng +4 more
doaj +1 more source
Generative Adversarial Network-Based Signal Inpainting for Automatic Modulation Classification
Automatic modulation classification (AMC) aims to automatically identify the modulation type of a detected signal in an intelligent wireless receiver, such as software-defined radio (SDR).
Subin Lee, Young-Il Yoon, Yong Ju Jung
doaj +1 more source
Modulation Classification of Underwater Communication Signals Based on Channel Estimation
Classifying modulated signals for non-cooperative underwater acoustic communication is challenging due to signal distortion caused by fading and multipath effects in the underwater acoustic channel.
Xiaodan Yang +3 more
doaj +1 more source
Waveform Classification From TEMPEST Attacks
The paper addresses the classification of typical baseband signals to be found in computing devices picked up without any physical contact, just using RF probing.
Muhammad Ahmed Leghari +4 more
doaj +1 more source
Classification of skew multiplicity-free modules [PDF]
Final version to appear in Transformation ...
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