Vortex/inflectional-wave interactions with weakly three-dimensional input [PDF]
The subtle impact of the spanwise scaling in nonlinear interactions between oblique instability waves and the induced longitudinal vortex field is considered theoretically for the case of a Rayleigh-unstable boundary-layer flow, at large Reynolds numbers.
Smith, FT, Timoshin, SN
core +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
openaire +2 more sources
Transfer Learning based Location-Aided Modulation Classification in Indoor Environments for Cognitive Radio Applications [PDF]
Modulation classification is a crucial technique to utilize the unconsumed spectrum in Cognitive Radio (CR) and Dynamic Spectrum Access (DSA) systems to meet the required traffic demands for future-generation cellular networks. This paper presents an end-
K. Tamizhelakkiya, S. Gauni, P. Chandhar
doaj
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
On the algebraic classification of module spectra [PDF]
39 ...
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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
Wavelet—Artificial Neural Network Receiver for Indoor Optical Wireless Communications [PDF]
The multipath induced intersymbol interference (ISI) and fluorescent light interference (FLI) are the two most important system impairments that affect the performance of indoor optical wireless communication (OWC) systems.
Angelova, Maia +2 more
core +1 more source
Bit error performance of diffuse indoor optical wireless channel pulse position modulation system employing artificial neural networks for channel equalisation [PDF]
The bit-error rate (BER) performance of a pulse position modulation (PPM) scheme for non-line-of-sight indoor optical links employing channel equalisation based on the artificial neural network (ANN) is reported.
Angelova, Maia +2 more
core +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
Deep Neural Network Architectures for Modulation Classification
In this work, we investigate the value of employing deep learning for the task of wireless signal modulation recognition. Recently in [1], a framework has been introduced by generating a dataset using GNU radio that mimics the imperfections in a real ...
Gamal, Aly El, Liu, Xiaoyu, Yang, Diyu
core +1 more source

