Reference health
Multi–Dimensional Wireless Signal Identification Based on Support Vector Machines
1 of 38 checkable references need attention · checked 2026-07-21
At the dated check, the references listed below either did not resolve in Crossref or DataCite, or carried a retraction notice. Each one is shown with the registry record that put it there.
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References needing attention
does not resolve to a known work10.1142/9789812776655
The 37 checked references that resolve
resolves10.1109/LPT.2018.2878530
Joint Modulation Classification and OSNR Estimation Enabled by Support Vector Machine
resolves10.1109/LWC.2018.2824813
Automatic Modulation Classification for D-STBC Cooperative Relaying Networks
resolves10.1109/WCNC.2004.1311279
Robust QAM modulation classification algorithm using cyclic cumulants
resolves10.1109/ACSSC.2001.987051
On the utility of sixth-order cyclic cumulants for RF signal classification
resolves10.1109/MILCOM.2003.1290087
Higher-order cyclic cumulants for high order modulation classification
resolves10.1109/WiCOM.2006.157
A Novel Modulation Classification Method Based on High Order Cumulants
resolves10.1109/MIM.2015.7066677
Signal identification for emerging intelligent radios: classical problems and new challenges
resolves10.1109/I2MTC.2015.7151426
Identification of GSM and LTE signals using their second-order cyclostationarity
resolves10.1109/RAWCON.2004.1389125
Cyclostationarity based air interface recognition for software radio systems
resolves10.1109/ICC.2009.5198574
2nd Order Cyclostationarity of OFDM Signals: Impact of Pilot Tones and Cyclic Prefix
resolves10.1109/JSTSP.2011.2174773
Second-Order Cyclostationarity of Mobile WiMAX and LTE OFDM Signals and Application to Spectrum Awareness in Cognitive Radio Systems
resolves10.1109/ACCESS.2017.2746140
Robust Automatic Modulation Classification Under Varying Noise Conditions
resolves10.1109/ACCESS.2018.2809448
Simultaneous Determination of Modulation Types and Signal-to-Noise Ratios Using Feature-Based Approach
resolves10.1109/MILCOM.1999.822719
Identification of digital modulation types using the wavelet transform
resolves10.1109/DYSPAN.2005.1542629
A new approach to signal classification using spectral correlation and neural networks
resolves10.1109/GLOCOM.2017.8254105
Spectrum Monitoring for Radar Bands Using Deep Convolutional Neural Networks
resolves10.1109/GLOCOM.2018.8647582
Robust Modulation Classification under Uncertain Noise Condition Using Recurrent Neural Network
resolves10.1109/AINA.2008.27
Signal Classification Based on Spectral Correlation Analysis and SVM in Cognitive Radio
resolves10.1109/ACCESS.2018.2818794
End-to-End Learning From Spectrum Data: A Deep Learning Approach for Wireless Signal Identification in Spectrum Monitoring Applications
resolves10.1109/INDIN.2017.8104767
Wireless interference identification with convolutional neural networks
resolves10.1109/TCCN.2018.2835460
Deep Learning Models for Wireless Signal Classification With Distributed Low-Cost Spectrum Sensors
The 9 references without a DOI — listed, not checked
no DOI — not checkedref38
no DOI — not checkedReplication data for: Multi-dimensional wireless signal identification based on support vector machines
no DOI — not checkedOn the investigation of wireless signal identification using spectral correlation function and SVMs
no DOI — not checkedCyclostationary signal analysis
no DOI — not checkedFast deep learning for automatic modulation classification
no DOI — not checkedref45
no DOI — not checkedref42
no DOI — not checkedref41
no DOI — not checkedref43
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