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Cognitive radio techniques under practical imperfections: A survey
Cognitive radio (CR) has been considered as a potential candidate for addressing the
spectrum scarcity problem of future wireless networks. Since its conception, several …
spectrum scarcity problem of future wireless networks. Since its conception, several …
Cyclostationarity: New trends and applications
A Napolitano - Signal processing, 2016 - Elsevier
A concise survey of the literature on cyclostationarity of the last 10 years is presented and an
extensive bibliography included. The problems of statistical function estimation, signal …
extensive bibliography included. The problems of statistical function estimation, signal …
Spectrum sensing based on deep learning classification for cognitive radios
S Zheng, S Chen, P Qi, H Zhou… - China …, 2020 - ieeexplore.ieee.org
Spectrum sensing is a key technology for cognitive radios. We present spectrum sensing as
a classification problem and propose a sensing method based on deep learning …
a classification problem and propose a sensing method based on deep learning …
Spectrum sensing in cognitive radio: A deep learning based model
Spectrum sensing is an efficient technology for addressing the shortage of spectrum
resources. Widely used methods usually employ model‐based features as the test statistics …
resources. Widely used methods usually employ model‐based features as the test statistics …
Applications of robust statistics for cyclostationarity detection in non-Gaussian signals for local damage detection in bearings
Signals with periodic characteristics are ubiquitous in real-world applications. One of these
areas is condition monitoring, where the vibration signals from rotating machines naturally …
areas is condition monitoring, where the vibration signals from rotating machines naturally …
Cyclic feature detection with sub-Nyquist sampling for wideband spectrum sensing
For cognitive radio networks, efficient and robust spectrum sensing is a crucial enabling step
for dynamic spectrum access. Cognitive radios need to not only rapidly identify spectrum …
for dynamic spectrum access. Cognitive radios need to not only rapidly identify spectrum …
Informative frequency band selection in the presence of non-Gaussian noise–a novel approach based on the conditional variance statistic with application to bearing …
In this paper a novel approach to local damage detection in the presence of non-Gaussian
impulsive noise is introduced. The proposed approach is applied to bearing damage …
impulsive noise is introduced. The proposed approach is applied to bearing damage …
[HTML][HTML] Selection of the informative frequency band in a bearing fault diagnosis in the presence of non-gaussian noise—comparison of recently developed methods
The vibration signals acquired on machines usually have complex spectral structure. As the
signal of interest (SOI) is weak (especially at an early stage of damage) and covers some …
signal of interest (SOI) is weak (especially at an early stage of damage) and covers some …
CS2 analysis in presence of non-Gaussian background noise–Effect on traditional estimators and resilience of log-envelope indicators
Abstract Second-order cyclostationary (CS2) analysis has become popular in the field of
machine diagnostics and a series of digital signal processing techniques have been …
machine diagnostics and a series of digital signal processing techniques have been …
VSLM: Virtual Signal Large Model for Few-Shot Wideband Signal Detection and Recognition
Most existing wideband signal detection and recognition (WSDR) methods rely on diverse,
large-scale, and well-labeled training data, which are often difficult to obtain in practical …
large-scale, and well-labeled training data, which are often difficult to obtain in practical …