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Cyclic Feature Detection With Sub-Nyquist Sampling for Wideband Spectrum Sensing
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Detection, Estimation, and Modulation Theory, Part I
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Spectrum Sensing Based on Spectral Correlation
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NeXt generation/dynamic spectrum access/cognitive radio wireless networks: A survey
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Signal interception: a unifying theoretical framework for feature detection
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Radiometric detection of spread-spectrum signals in noise of uncertain power
inferredcites →https://doi.org/10.1109/78.317857openalex-snapshot
Statistical tests for presence of cyclostationarity
inferredcites →https://doi.org/10.1109/79.81007openalex-snapshot
Exploitation of spectral redundancy in cyclostationary signals
inferredcites →https://doi.org/10.1109/dcas.2006.321036openalex-snapshot
Analog-to-Information Conversion via Random Demodulation
inferredcites →https://doi.org/10.1109/dyspan.2007.35openalex-snapshot
Cyclostationary Approaches to Signal Detection and Classification in Cognitive Radio
inferredcites →https://doi.org/10.1109/glocom.2008.ecp.721openalex-snapshot
Compressed Wideband Sensing in Cooperative Cognitive Radio Networks
inferredcites →https://doi.org/10.1109/glocom.2010.5683954openalex-snapshot
Cyclostationarity-Based Detection of LTE OFDM Signals for Cognitive Radio Systems
inferredcites →https://doi.org/10.1109/icassp.2007.367330openalex-snapshot
Compressed Sensing for Wideband Cognitive Radios
inferredcites →https://doi.org/10.1109/icassp.2008.4518496openalex-snapshot
Mixed-signal parallel compressed sensing and reception for cognitive radio
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Compressive wide-band spectrum sensing
inferredcites →https://doi.org/10.1109/icc.2011.5963015openalex-snapshot
Cyclic Feature Based Wideband Spectrum Sensing Using Compressive Sampling
inferredcites →https://doi.org/10.1109/icdsp.2011.6005003openalex-snapshot
Multi-coset sampling for power spectrum blind sensing
inferredcites →https://doi.org/10.1109/ita.2008.4601017openalex-snapshot
Spectrum-blind sampling and compressive sensing for continuous-index signals
inferredcites →https://doi.org/10.1109/jsac.2008.080103openalex-snapshot
Cyclostationary Signatures in Practical Cognitive Radio Applications
inferredcites →https://doi.org/10.1109/lsp.2011.2158604openalex-snapshot
Power Spectrum Blind Sampling
inferredcites →https://doi.org/10.1109/pimrc.2004.1368338openalex-snapshot
Air interface recognition for a software radio system exploiting cyclostationarity
inferredcites →https://doi.org/10.1109/tcsi.2010.2072430openalex-snapshot
A Sub-Nyquist Rate Sampling Receiver Exploiting Compressive Sensing
inferredcites →https://doi.org/10.1109/tit.2005.862083openalex-snapshot
Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information
inferredcites →https://doi.org/10.1109/tsp.2009.2025152openalex-snapshot
Collaborative Cyclostationary Spectrum Sensing for Cognitive Radio Systems
inferredcites →https://doi.org/10.1109/tsp.2009.2029790openalex-snapshot
Robust Nonparametric Cyclic Correlation-Based Spectrum Sensing for Cognitive Radio
inferredcites →https://doi.org/10.1109/tsp.2009.2038417openalex-snapshot
Distributed Spectrum Sensing for Cognitive Radio Networks by Exploiting Sparsity
inferredcites →https://doi.org/10.1109/twc.2010.061510.091080openalex-snapshot
On the Cyclostationarity of OFDM and Single Carrier Linearly Digitally Modulated Signals in Time Dispersive Channels: Theoretical Developments and Application
inferredcites →https://doi.org/10.1109/wirles.2005.1549453openalex-snapshot
Fundamental limits on detection in low SNR under noise uncertainty
inferredcites →https://doi.org/10.1112/jlms/s1-31.2.160openalex-snapshot
On the Representation of 1, 2, …, n by Differences
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Joint Signal Detection and Classification Based on First-Order Cyclostationarity For Cognitive Radios
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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An Overview of Cognitive Radio Networks
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Spectrum to Unlash Machine‐to‐Machine Uptake
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Optimal multiband joint detection in cognitive radio networks with the Taguchi method
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Retracted: A hybrid‐supervised learning model for compressive spectrum sensing in fifth generation(5G) cognitive Radio enabled internet of things (IoT) networks
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An Image Processing Approach to Wideband Spectrum Sensing of Heterogeneous Signals
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Analysis of the Classical Spectrum Sensing Algorithm Based on Transmitter
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Signal Sensing with Sub-Nyquist Cyclic Feature
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Analog to Digital Cognitive Radio
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Spectrum Sensing Using Markovian Models
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Overview of Recent Applications of Cognitive Radio in Wireless Communication Systems
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Spectrum Sensing Using Markovian Models
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Prior Structure-Based Sparsity Representation for Compressive Signal Feature Recovery
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CS-Based Modulation Recognition of Sparse Multiband Signals Exploiting Cyclic Spectral Density and MLP
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Cyclic Frequency Estimation by Compressed Cyclic Correntropy Spectrum in Impulsive Noise
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Preamble Detection Based on Cyclic Features of Zadoff–Chu Sequences for Underwater Acoustic Communications
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Multiantenna-Assisted Wideband Spectrum Sensing Based on Sub-Nyquist Sampling
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Distributed Automatic Modulation Classification Based on Cyclic Feature via Compressive Sensing
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Cooperative Compressive Spectrum Sensing in Cognitive Radio Based on W-OMP
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Detecting UWB Radar signals with UWB communication interference
inferred← citeshttps://doi.org/10.1109/mnet.111.2100016openalex-snapshot
Cooperative Drone Communications for Space-Air-Ground Integrated Networks
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Compressive Covariance Sensing: Structure-based compressive sensing beyond sparsity
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Analog-to-Digital Cognitive Radio: Sampling, Detection, and Hardware
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Correlation Awareness in Low-Rank Models: Sampling, Algorithms, and Fundamental Limits
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Recent Advances on Sub-Nyquist Sampling-Based Wideband Spectrum Sensing
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Wideband spectrum sensing for cognitive radio networks: a survey
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Compressive Wideband Spectrum Sensing in Cognitive Radio Systems Based on Cyclostationary Feature Detection
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A feature detector based on compressed sensing and wavelet transform for wideband cognitive radio
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Cooperative sequential compressed spectrum sensing over wide spectrum band
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High-resolution cyclic spectrum reconstruction from sub-Nyquist samples
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Compressed sensing for MIMO radar: A stochastic perspective
inferred← citeshttps://doi.org/10.1109/ssp.2018.8450733openalex-snapshot
A Low-Complexity Sub-Nyquist Blind Signal Detection Algorithm For Cognitive Radio
inferred← citeshttps://doi.org/10.1109/taes.2018.2807300openalex-snapshot
Multichannel Cooperative Spectrum Sensing That Integrates Channel Decoding With Fusion-Based Decision
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Detecting Aerial Radars From Massive MIMO Base Stations: Design and Experimental Evaluation
inferred← citeshttps://doi.org/10.1109/tccn.2018.2790971openalex-snapshot
Wideband Cyclostationary Signal Processing Using Sparse Subsets of Narrowband Subchannels
inferred← citeshttps://doi.org/10.1109/tccn.2019.2949279openalex-snapshot
20 Years of Evolution From Cognitive to Intelligent Communications
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Collaborative Learning-Based Spectrum Sensing Under Partial Observations
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A Low-Complexity Fast Compressed Cyclic Spectrum Estimation Method for Wideband Spectrum Sensing
inferred← citeshttps://doi.org/10.1109/tcomm.2021.3077061openalex-snapshot
Collaborative Sampling and Binary Local Output Generation for Distributed Blind Cooperative Spectrum Sensing
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Compressive Spectrum Sensing Using Sampling-Controlled Block Orthogonal Matching Pursuit
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Non-Uniform Wavelet Sampling for RF Analog-to-Information Conversion
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An efficient compressive spectrum sensing technique for cognitive radio system
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Sparse Learning of Higher-Order Statistics for Communications and Sensing
inferred← citeshttps://doi.org/10.1109/tgcn.2024.3439536openalex-snapshot
Physical Layer Authentication via Conditional Variational Auto-Encoder for AIS
inferred← citeshttps://doi.org/10.1109/tie.2025.3625277openalex-snapshot
Implementation of Parallel Wideband Spectrum Sensing in the High-Speed Acquisition System
inferred← citeshttps://doi.org/10.1109/tii.2018.2797096openalex-snapshot
Dynamic Compressive Wide-Band Spectrum Sensing Based on Channel Energy Reconstruction in Cognitive Internet of Things
inferred← citeshttps://doi.org/10.1109/tim.2023.3317911openalex-snapshot
Robust Parameter Measurement of PSK Signals Based on FRI Sampling and Structured Sparsity
inferred← citeshttps://doi.org/10.1109/tit.2012.2237475openalex-snapshot
Compressive Spectral Estimation for Nonstationary Random Processes
inferred← citeshttps://doi.org/10.1109/tit.2014.2346508openalex-snapshot
Minimum Variance Estimation of a Sparse Vector Within the Linear Gaussian Model: An RKHS Approach
inferred← citeshttps://doi.org/10.1109/tit.2015.2429594openalex-snapshot
Exact and Stable Covariance Estimation From Quadratic Sampling via Convex Programming
inferred← citeshttps://doi.org/10.1109/tmc.2017.2744621openalex-snapshot
Scheduled Sequential Compressed Spectrum Sensing for Wideband Cognitive Radios
inferred← citeshttps://doi.org/10.1109/tnet.2017.2787647openalex-snapshot
Scheduling of Collaborative Sequential Compressed Sensing Over Wide Spectrum Band
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An Intelligent Resource Allocation Scheme in Energy Harvesting Cognitive Wireless Sensor Networks
inferred← citeshttps://doi.org/10.1109/trs.2026.3676208openalex-snapshot
Pseudorandom Time-Modulated Metasurface Cloaked Target Detection Based on Encoded Modulation Sequence Reconstruction
inferred← citeshttps://doi.org/10.1109/tsp.2013.2278810openalex-snapshot
Joint Cycle Frequencies and Lags Utilization in Cyclostationary Feature Spectrum Sensing
inferred← citeshttps://doi.org/10.1109/tsp.2013.2284765openalex-snapshot
Nonuniform Sampling Walls in Wideband Signal Detection
inferred← citeshttps://doi.org/10.1109/tsp.2015.2389620openalex-snapshot
The Restless Multi-Armed Bandit Formulation of the Cognitive Compressive Sensing Problem
inferred← citeshttps://doi.org/10.1109/tsp.2015.2430838openalex-snapshot
Compressive Periodogram Reconstruction Using Uniform Binning
inferred← citeshttps://doi.org/10.1109/tsp.2015.2512562openalex-snapshot
Wideband Spectrum Sensing on Real-Time Signals at Sub-Nyquist Sampling Rates in Single and Cooperative Multiple Nodes
inferred← citeshttps://doi.org/10.1109/tsp.2016.2614799openalex-snapshot
Generalized Coprime Sampling of Toeplitz Matrices for Spectrum Estimation
inferred← citeshttps://doi.org/10.1109/tsp.2017.2659644openalex-snapshot
Gridless Line Spectrum Estimation and Low-Rank Toeplitz Matrix Compression Using Structured Samplers: A Regularization-Free Approach
inferred← citeshttps://doi.org/10.1109/tsp.2017.2684743openalex-snapshot
Sub-Nyquist Cyclostationary Detection for Cognitive Radio
inferred← citeshttps://doi.org/10.1109/tsp.2021.3077306openalex-snapshot
Third-Order Statistics Reconstruction From Compressive Measurements
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Efficient Super-Resolution Two-Dimensional Harmonic Retrieval With Multiple Measurement Vectors
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Iterative Synchronization-Assisted Detection of OFDM Signals in Cognitive Radio Systems
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Cooperative Wideband Spectrum Sensing Over Fading Channels
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A Statistical Knowledge Autocorrelation-Based Algorithm for Spectrum Sensing of OFDM Signals in Channels With Frequency Offset
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Performance Analysis of Volume-Based Spectrum Sensing for Cognitive Radio
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Efficient Spectrum Availability Information Recovery for Wideband DSA Networks: A Weighted Compressive Sampling Approach
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Channel Energy Statistics Learning in Compressive Spectrum Sensing
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Fast Compressed Power Spectrum Estimation: Toward a Practical Solution for Wideband Spectrum Sensing
inferred← citeshttps://doi.org/10.1109/twc.2021.3076180openalex-snapshot
Spectrum-Agile Cognitive Radios Using Multi-Task Transfer Deep Reinforcement Learning
inferred← citeshttps://doi.org/10.1109/twc.2022.3159101openalex-snapshot
A Blind Distributed Spectrum Sensing Scheme With Homogeneity Test
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Spectrum Transformer: An Attention-Based Wideband Spectrum Detector
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A Novel Algorithm to Optimize Sampling Rate for Compressed Sensing
inferred← citeshttps://doi.org/10.1109/vtcfall.2013.6692456openalex-snapshot
Wavelet Cyclic Feature Based Automatic Modulation Recognition Using Nonuniform Compressive Samples
inferred← citeshttps://doi.org/10.1109/vtcfall.2015.7391123openalex-snapshot
Robust Wideband Spectrum Sensing with Compressive Sampling in Cognitive Radios
inferred← citeshttps://doi.org/10.1109/vtcfall.2019.8891131openalex-snapshot
Derivation of Sensing Features for Maximum Cyclic Autocorrelation Selection Based Signal Detection
inferred← citeshttps://doi.org/10.1109/wcnc.2015.7127479openalex-snapshot
Simplified cyclostationary detector using compressed sensing
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Cyclostationary-based cooperative compressed wideband spectrum sensing in cognitive radio networks
inferred← citeshttps://doi.org/10.1145/3774904.3792536openalex-snapshot
Collaborative Subgraph Learning based Spectrum Sensing under Partial Observations
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Design and Study of Cognitive Network Physical Layer Simulation Platform
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