Theory and application of higher-order cyclostationarity. - Chad M. Spooner (Signal Process., 1992)

Signal interception: performance advantages of cyclic-feature detectors. - William A. Gardner; Chad M. Spooner (IEEE Trans. Commun., 1992)

Comparison of autocorrelation and cross-correlation methods for signal-selective TDOA estimation. - William A. Gardner; Chad M. Spooner (IEEE Trans. Signal Process., 1992)

Detection and source location of weak cyclostationary signals: simplifications of the maximum-likelihood receiver. - William A. Gardner; Chad M. Spooner (IEEE Trans. Commun., 1993)

Robust feature detection for signal interception. - Chad M. Spooner; William A. Gardner (IEEE Trans. Commun., 1994)

The cumulant theory of cyclostationary time-series. I. Foundation. - William A. Gardner; Chad M. Spooner (IEEE Trans. Signal Process., 1994)

The cumulant theory of cyclostationary time-series. II. Development and applications. - Chad M. Spooner; William A. Gardner (IEEE Trans. Signal Process., 1994)

Median-based cyclic polyspectrum estimation. - Antonio Napolitano 001; Chad M. Spooner (IEEE Trans. Signal Process., 2000)

Cyclic spectral analysis of continuous-phase modulated signals. - Antonio Napolitano 001; Chad M. Spooner (IEEE Trans. Signal Process., 2001)

Specific Emitter Identification for Cognitive Radio with Application to IEEE 802.11. - Kyouwoong Kim; Chad M. Spooner; Ihsan Akbar; Jeffrey H. Reed (GLOBECOM, 2008)

Listen-while-talking: a technique for primary user protection. - Nilesh Khambekar; Chad Michael Spooner; Vipin Chaudhary (WCNC, 2009)

On the Cyclostationarity of OFDM and Single Carrier Linearly Digitally Modulated Signals in Time Dispersive Channels: Theoretical Developments and Application. - Anjana Punchihewa; Qiyun Zhang; Octavia A. Dobre; Chad M. Spooner; Sreeraman Rajan; Robert J. Inkol (IEEE Trans. Wirel. Commun., 2010)

Spectrum sensing for cognitive radio: A signal-processing perspective on signal-statistics exploitation. - Chad M. Spooner; Nilesh V. Khambekar (ICNC, 2012)

A Signal-Processing Perspective on Signal-Statistics Exploitation in Cognitive Radio. - Chad Michael Spooner; Nilesh Khambekar (J. Commun., 2012)

From Explicit to Implicit Speech Recognition. - Chad M. Spooner; Erik Viirre; Bradley Chase (HCI (24), 2013)

Tunnelized Cyclostationary Signal Processing: A Novel Approach to Low-Energy Spectrum Sensing. - Chad M. Spooner; Apurva N. Mody; Jack Chuang; Michael P. Anthony (MILCOM, 2013)

On improving serviceability with quantified dynamic spectrum access. - Nilesh Khambekar; Chad M. Spooner; Vipin Chaudhary (DySPAN, 2014)

Going Towards Discretized Spectrum Space: Quantification of Spectrum Consumption Spaces and a Quantified Spectrum Access Paradigm. - Nilesh Khambekar; Chad M. Spooner; Vipin Chaudhary (CoRR, 2014)

Maximizing Spectrum Availability and Exploitation: How to Maximize Spectrum Sharing Benefits to the Incumbents? - Nilesh Khambekar; Chad M. Spooner; Vipin Chaudhary (CoRR, 2014)

Estimating the use of spectrum for defining and enforcing the spectrum access rights. - Nilesh Khambekar; Vipin Chaudhary; Chad M. Spooner (MILCOM, 2015)

MUSE: A Methodology for Characterizing and Quantifying the Use of Spectrum. - Nilesh Khambekar; Chad M. Spooner; Vipin Chaudhary (CoRR, 2015)

Characterization of the missed spectrum-access opportunities under dynamic spectrum sharing. - Nilesh Khambekar; Chad M. Spooner; Vipin Chaudhary (COMSNETS, 2016)

MUSE: A Methodology for Quantifying Spectrum Usage. - Nilesh Khambekar; Chad M. Spooner; Vipin Chaudhary (GLOBECOM, 2016)

Quantified Spectrum Sharing: Motivation, Approach, and Benefits. - Nilesh Khambekar; Chad M. Spooner; Vipin Chaudhary (CoRR, 2016)

Modulation recognition using second- and higher-order cyclostationarity. - Chad M. Spooner; Apurva N. Mody; Jack Chuang; Josh Petersen (DySPAN, 2017)

Paramorphic multicarrier communications for interference mitigation. - Matt Carrick; Jeffrey H. Reed; Chad M. Spooner (EURASIP J. Adv. Signal Process., 2018)

Wideband Cyclostationary Signal Processing Using Sparse Subsets of Narrowband Subchannels. - Chad M. Spooner; Apurva N. Mody (IEEE Trans. Cogn. Commun. Netw., 2018)

Mitigating Linear-Frequency-Modulated Pulsed Radar Interference to OFDM. - Matt Carrick; Jeffrey H. Reed; Chad M. Spooner (IEEE Trans. Aerosp. Electron. Syst., 2019)

Spectral Correlation for LEO Satellite Signal Presence Detection and Doppler Estimation. - Jonas Hofmann; Andreas Knopp; Chad M. Spooner; Giovanni Minelli; James Newman (ACSSC, 2020)

Conjugate Cyclic Feature Detection in the Presence of LEO-Satellite Doppler Effects. - Jonas Hofmann; Chad M. Spooner; Andreas Knopp (ACSCC, 2021)

On Deep Learning Classification of Digitally Modulated Signals Using Raw I/Q Data. - John A. Snoap; Dimitrie C. Popescu; Chad M. Spooner (CCNC, 2022)

Using Capsule Networks to Classify Digitally Modulated Signals with Raw I/Q Data. - James A. Latshaw; Dimitrie C. Popescu; John A. Snoap; Chad M. Spooner (COMM, 2022)

Robust Classification of Digitally Modulated Signals Using Capsule Networks and Cyclic Cumulant Features. - John A. Snoap; James A. Latshaw; Dimitrie C. Popescu; Chad M. Spooner (MILCOM, 2022)

Synthetic Digitally Modulated Signal Datasets for Automatic Modulation Classification. - Chad Michael Spooner; John Snoap; James A. Latshaw; Dimitrie C. Popescu (IEEE DataPort, 2022)

ICARUS: Learning on IQ and Cycle Frequencies for Detecting Anomalous RF Underlay Signals. - Debashri Roy; Vini Chaudhury; Chinenye Tassie; Chad M. Spooner; Kaushik R. Chowdhury (INFOCOM, 2023)

Novel Nonlinear Neural-Network Layers for High Performance and Generalization in Modulation-Recognition Applications. - John A. Snoap; Dimitrie C. Popescu; Chad M. Spooner (MILCOM, 2023)

Deep-Learning-Based Classification of Digitally Modulated Signals Using Capsule Networks and Cyclic Cumulants. - John A. Snoap; Dimitrie C. Popescu; James A. Latshaw; Chad M. Spooner (Sensors, 2023)

S$^{3}$CA: A Sparse Strip Spectral Correlation Analyzer. - Carol Jingyi Li; Richard Rademacher; David Boland; Craig T. Jin; Chad M. Spooner; Philip H. W. Leong (IEEE Signal Process. Lett., 2024)

Deep-Learning-Based Classifier With Custom Feature-Extraction Layers for Digitally Modulated Signals. - John A. Snoap; Dimitrie C. Popescu; Chad M. Spooner (IEEE Trans. Broadcast., 2024)