Results 41 to 50 of about 450,675 (283)

A novel representation of energy and signal transformation in measurement systems [PDF]

, 2005
This work presents a novel representation of energy and signal transformation in a measurement system, which is essentially a transducer conversion logic or language (TCL).
Yang, QP
core   +1 more source

Signal Automatic Modulation Classification and Recognition in View of Deep Learning

IEEE Access, 2023
With the advancement of 5G technology, wireless communication resources such as channels and spectrum become scarce. This necessitates ensuring the efficiency and security of signal modulation and demodulation, which imposes higher requirements for ...
Tianpei Xu, Ying Ma
doaj   +1 more source

Low Complexity Kolmogorov-Smirnov Modulation Classification

, 2011
Kolmogorov-Smirnov (K-S) test-a non-parametric method to measure the goodness of fit, is applied for automatic modulation classification (AMC) in this paper.
Wang, Fanggang, Xu, Rongtao, Zhong, Zhangdui   +2 more
core   +1 more source

Waveform Classification From TEMPEST Attacks

IEEE Access
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, Sina Mei Pralle, Soeren F. Peik, Sebastian Luetje, Werner Henkel   +4 more
doaj   +1 more source

Classification of skew multiplicity-free modules [PDF]

Transformation Groups, 2012
Final version to appear in Transformation ...
openaire   +2 more sources

Automatic Classification of 5G Waveform-Modulated Signals Using Deep Residual Networks

Sensors
Modulation identification plays a crucial role in contemporary wireless communication systems, especially within 5G and future-generation networks that utilize a variety of multicarrier waveforms.
Haithem Ben Chikha, Alaa Alaerjan, Randa Jabeur   +2 more
doaj   +1 more source

Modulation Classification for MIMO-OFDM Signals via Approximate Bayesian Inference

, 2016
The problem of modulation classification for a multiple-antenna (MIMO) system employing orthogonal frequency division multiplexing (OFDM) is investigated under the assumption of unknown frequency-selective fading channels and signal-to-noise ratio (SNR).
Haimovich, Alexander M., Liu, Yu, Simeone, Osvaldo, Su, Wei   +3 more
core   +1 more source

Machine Learning For Modulation Classification Of Radar Signals: A Survey

JISR on Computing, 2019
Automatic modulation recognition of radar waveform is a major topic and has many military applications. This paper surveys the models and the techniques used in recognizing different modulation types of intercepted radar waveform.
Hitham Alshoubaki
doaj   +1 more source

Data Augmentation for Deep Learning-Based Radio Modulation Classification

IEEE Access, 2020
Deep learning has recently been applied to automatically classify the modulation categories of received radio signals without manual experience. However, training deep learning models requires massive volume of data.
Liang Huang, Weijian Pan, You Zhang, Liping Qian, Nan Gao, Yuan Wu   +5 more
doaj   +1 more source

Feasibility and Safety of High‐Dose Proton Re‐Irradiation in Recurrent Pediatric Central Nervous System Tumors: A Single‐Institution Retrospective Study

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Purpose Pediatric central nervous system (CNS) tumors often recur despite multimodality therapy. Although re‐irradiation (re‐RT) has historically been limited by concerns for severe late toxicities, modern techniques have renewed interest in this approach. Proton therapy provides dosimetric advantages that may enable curative re‐treatment with
Jin‐Ho Song, Jonathan Baron, Carlos Chavez Perez, Sidharth Ramesh, Jane Minturn, Kavita A. Desai, Amish C. Shah, Jean M. Belasco, Kristina A. Cole, Michael J. Fisher, Phillip B. Storm, Peter M. Madsen, Goldie Kurtz, Robert A. Lustig, Christine Hill‐Kayser, Michael J. LaRiviere   +15 more
wiley   +1 more source