[HTML][HTML] Deep learning-based fault location framework in power distribution grids employing convolutional neural network based on capsule network
Power distribution grids (PDGs) are one of the main parts of electrical logistic chains with the
task of transferring electricity to the consumers continually. Adverse weather conditions …
task of transferring electricity to the consumers continually. Adverse weather conditions …
Automatic modulation classification of radar signals using the Rihaczek distribution and Hough transform
D Zeng, X Zeng, H Cheng, B Tang - IET Radar, Sonar & Navigation, 2012 - IET
It is an important work to classify the modulation type of the intercepted radar signal for an
electronic intelligence (ELINT) receiver in a non-cooperative environment. The authors use …
electronic intelligence (ELINT) receiver in a non-cooperative environment. The authors use …
Intra-pulse modulation recognition using short-time ramanujan Fourier transform spectrogram
X Ma, D Liu, Y Shan - EURASIP journal on advances in signal processing, 2017 - Springer
Intra-pulse modulation recognition under negative signal-to-noise ratio (SNR) environment
is a research challenge. This article presents a robust algorithm for the recognition of 5 types …
is a research challenge. This article presents a robust algorithm for the recognition of 5 types …
An efficient FPGA IP core for automatic modulation classification
This letter presents a new algorithm for automatic modulation classification (AMC) and its
implementation and validation as an intellectual property (IP) core. AMC aims at accurately …
implementation and validation as an intellectual property (IP) core. AMC aims at accurately …
Signal area estimation based on deep learning
MM Alammar, M López-Benítez - Physical Communication, 2023 - Elsevier
In many practical application scenarios, radio communication signals are commonly
represented as a spectrogram, which represents the signal strength measured at multiple …
represented as a spectrogram, which represents the signal strength measured at multiple …
Accurate Automatic Extraction of Signal Components From Noisy Radio Spectrograms
M López-Benítez, MM Alammar - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
In some radio communication scenarios it is useful to extract the bandwidth and start/end
times of each transmission in a spectrogram. However, few methods in the literature are able …
times of each transmission in a spectrogram. However, few methods in the literature are able …
Signal analysis and classification of digital communication signals using adaptive smooth-windowed Wigner-Ville distribution
JL Tan, AZ bin Sha'ameri - 2008 6th National Conference on …, 2008 - ieeexplore.ieee.org
Signals in a non cooperative communication environment such as in the high frequency
(HF) spectrum are generally unknown in nature. There is a need for true spectrum …
(HF) spectrum are generally unknown in nature. There is a need for true spectrum …
Data Mining Applied to cognitive radio systems
Cognitive radio (CR) is a novel technology that allows to improve spectrum utilization by
enabling opportunistic access to the licensed spectrum band by unlicensed users [2]. This is …
enabling opportunistic access to the licensed spectrum band by unlicensed users [2]. This is …
Iterative Pyramidal Filtering Method for Improved Signal Recognition in Radio Spectrograms
M López-Benítez - IEEE Wireless Communications Letters, 2022 - ieeexplore.ieee.org
Spectrograms are an essential time-frequency representation tool that has been used to
address several important problems in wireless communication systems. However, most …
address several important problems in wireless communication systems. However, most …
Use of the cross time-frequency distribution for the analysis of the class of PSK signals
CY Mei, AZ Sha'ameri - International Conference on Computer …, 2010 - ieeexplore.ieee.org
Phase Shift-Keying (PSK) modulation has been applied widely in most of the data
communication system nowadays due to its noise immunity and bandwidth efficiency …
communication system nowadays due to its noise immunity and bandwidth efficiency …