[1] W. A. Gardner and C. M. Spooner, “Signal Interception: Performance Advantages of Cyclic Feature Detectors,” IEEE Transactions on Communications, Vol. 40, No. 1, Jan. 1992, pp. 149-159.
[2] W. A. Gardner and C. M. Spooner, “Comparison of Auto- and Cross-Correlation Methods for Signal-Selective TDOA Estimation,” IEEE Transactions on Signal Processing, Vol. 40, No. 10, Oct. 1992, pp. 2606-2608.
[3] C. M. Spooner and W. A. Gardner, “Robust Feature Detection for Signal Interception,” IEEE Transactions on Communications, Vol. 42, No. 5, May 1994, pp. 2165-2173.
[4] W. A. Gardner and C. M. Spooner, “Detection and Source Location of Weak Cyclostationary Signals: Simplifications of the Maximum-Likelihood Receiver,” IEEE Transactions on Communications, Vol. 41, No. 6, June 1993, pp. 905-916.
[5] W. A. Gardner and C. M. Spooner, “The Cumulant Theory of Cyclostationary Time-Series, Part I: Foundation,” IEEE Transactions on Signal Processing, Vol. 42, No. 12, Dec. 1994, pp. 3387-3408.
[6] C. M. Spooner and W. A. Gardner, “The Cumulant Theory of Cyclostationary Time-Series, Part II: Development and Applications,” IEEE Transactions on Signal Processing, Vol. 42, No. 12, Dec. 1994, pp. 3409-3429.
[7] A. Napolitano and C. M. Spooner, “Median-Based Cyclic Polyspectrum Estimation,” IEEE Transactions on Signal Processing, Vol. 48, No. 5, May 2000, pp. 1462-1466.
[8] A. Napolitano and C. M. Spooner, “Cyclic Spectral Analysis of Continuous-Phase Modulated Signals,” IEEE Transactions on Signal Processing, Vol. 49, No. 1, Jan. 2001, pp. 30-44.
[9] A. Punchihewa, Q. Zhang, O. A. Dobre, C. M. Spooner, S. Rajan, and R. Inkol, “On the Cyclostationarity of OFDM and Single Carrier Linearly Digitally Modulated Signals in Time Dispersive Channels: Theoretical Developments and Applications,” IEEE Transactions on Wireless Communications, Vol. 9, No. 8, August 2010, pp 2588-2599.
[10] P. H. Sahmel, J. H. Reed, and C. M. Spooner, “Eigenspace Approach to Specific Emitter Identification,” Frequenz, December 2010.
[11] C. M. Spooner and N. Khambekar, “A Signal-Processing Perspective on Signal-Statistics Exploitation in Cognitive Radio,” Journal of Communications, Vol. 7, No. 7, July 2012.
[12] C. M. Spooner, “Performance Evaluation of Detectors for Cyclostationary Signals,” MS Thesis, University of California, Davis, June 1998.
[13] C. M. Spooner, “Theory and Application of Higher-Order Cyclostationarity,” Ph.D. Dissertation, University of California, Davis, June 1992.
[14] C. M. Spooner, “Higher-Order Statistics for Nonlinear Processing of Cyclostationary Signals,” Chapter in Cyclostationarity in Communications and Signal Processing, New York: IEEE Press, 1994, pp. 91-167.
[15] W. A. Gardner and C. M. Spooner, “Cyclostationary Signal Processing,” Chapter in Control and Dynamic Systems, Vol. 65, Stochastic Techniques in Digital Signal Processing Systems, Part 2 of 2, New York: Academic Press, 1994, pp. 1-92.
[16] C. M. Spooner and R. B. Nicholls, “Spectrum Sensing Based on Spectral Correlation,” Chapter 18 in Cognitive Radio Technology, Second Edition, Ed. Bruce Fette, 2009.
[17] W. A. Gardner and C. M. Spooner, “Cyclic Spectral Analysis for Signal Detection and Modulation Recognition,” Proceedings of the Conference on Military Communications (MILCOM), San Diego, CA, Oct. 1988, pp. 419-423.
[18] W. A. Gardner and C. M. Spooner, “Higher-Order Cyclostationarity, Cyclic Cumulants, and Cyclic Polyspectra,” Proceedings of the International Symposium on Information Theory and Its Applications (ISITA), Honolulu, HI, Nov. 27-30, 1990, pp. 355-358.
[19] C. M. Spooner and W. A. Gardner, “Estimation of Cyclic Polyspectra,” (invited paper) Proceedings of the Twenty-Fifth Annual Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, CA, Nov. 4-6, 1991, pp. 370-376.
[20] C. M. Spooner and W. A. Gardner, “An Overview of the Theory of Higher-Order Cyclostationarity,” Proceedings of the Workshop on Nonstationary Stochastic Processes, Singapore: World Scientific, 1992, pp. 110-125.
[21] C. M. Spooner and W. A. Gardner, “Exploitation of Higher-Order Cyclostationarity for Weak-Signal Detection and Time-Delay Estimation,” Proceedings of the Sixth Workshop on Statistical Signal & Array Processing, Victoria, British Columbia, Canada, Oct. 7-9, 1992, pp. 197 -201.
[22] C. M. Spooner and W. A. Gardner, “Performance Evaluation of Cyclic Polyspectrum Estimators,” (invited paper) Proceedings of the Twenty-Sixth Annual Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, CA, Oct. 26-28, 1992, pp. 477-483.
[23] G. Fong, C. M. Spooner, and W. A. Gardner, “An Algorithm for Further Improvements in Signal-Selective Time-Difference Estimation,” Proceedings of the Second Workshop on Cyclostationary Signals, Monterey, CA, Aug. 1-2, 1994, pp. 10.1-10.7.
[24] C. M. Spooner, “An Overview of Recent Developments in Cyclostationary Signal Processing,” Proceedings of the Second Workshop on Cyclostationary Signals, Monterey, CA, Aug. 1-2, 1994, pp. 1.1-1.17.
[25] C. M. Spooner, “Classification of Cochannel Communication Signals using Cyclic Cumulants,” (invited paper) Proceedings of the Twenty-Ninth Annual Asilomar Conference on Signals, Systems, and Computers, Oct. 31-Nov. 2, 1995, pp. 531-536.
[26] C. M. Spooner, W. A. Brown, and G. K. Yeung, “Automatic Radio-Frequency Environment Analysis,” Proceedings of the Thirty-Fourth Annual Asilomar Conference on Signals, Systems, and Computers, Oct. 31, 2000.
[27] C. M. Spooner, M. P. Clark, and L. T. McWhorter, “Wavelet-Based Compression of HRR Radar Data for Moving Targets,’’ Proceedings of the Thirty-Fourth Annual Asilomar Conference on Signals, Systems, and Computers, Oct. 31, 2000.
[28] C. M. Spooner, “On the Utility of Sixth-Order Cyclic Cumulants for RF Signal Classification,” Proceedings of the Thirty-Fifth Annual Asilomar Conference on Signals, Systems, and Computers, Nov. 4-7, 2001.
[29] C. M. Spooner, “Applications of Local Discriminant Bases to HRR-Based ATR,” Proceedings of the Thirty-Fifth Annual Asilomar Conference on Signals, Systems, and Computers, Nov. 4-7, 2001.
[30] K. Kim, I. A. Akbar, K. K. Bae, J. Um, C. M. Spooner, and J. H. Reed, “Cyclostationary Approaches to Signal Detection and Classification in Cognitive Radio,” Proceedings of DySPAN 2007.
[31] C. M. Spooner, “Filterbanks for Adaptive Transmit Filtering,” Proceedings of MILCOM 2007, Orlando FL, October 2007.
[32] C. M. Spooner, “Multi-Resolution White-Space Detection for Cognitive Radio,” Proceedings of MILCOM 2007, Orlando FL, October 2007.
[33] K. Kim, C. M. Spooner, I. Akbar, and J. H. Reed, “Specific Emitter Identification in Cognitive Radio Applications,” Global Communications Conference 2008, New Orleans, LA, December 2008.
[34] N. Khambekar, C. M. Spooner, and V. Chaudhary, “Listen-While-Talk for Primary User Protection,” Wireless Communications and Networking Conference, Budapest, Hungary, April 2009.
[35] C. M. Spooner and N. Khambekar, “Spectrum Sensing for Cognitive Radio: A Signal Processing Perspective on Signal-Statistics Exploitation,” Invited Position Paper for the International Conference on Computing, Networking, and Communications, Maui, Hawaii, January 2012.
[36] C. M. Spooner, E. Viirre, and B. Chase, “From Explicit to Implicit Speech Recognition,” Invited Paper in Proceedings of the 2013 HCI International Conference, Las Vegas, NV, July 2013.
[37] D. L. Knepp, C. M. Spooner, and M. A. Hausman, “A Wideband Channel Probe for Space Situational Awareness,” 2013 Beacon Satellite Symposium, Bath, UK, July 8-10, 2013.
[38] C. M. Spooner, A. N. Mody, J. Chuang, and M. P. Anthony, “Tunnelized Cyclostationary Processing: A Novel Approach to Low-Energy Spectrum Sensing,” Invited Paper in Proceedings of the 32nd Annual Conference on Military Communications (MILCOM ’13), San Diego, CA, November 2013.
[39] N. Khambekar, C. M. Spooner, and V. Chaudhary, “On Improving Serviceability with Quantified Dynamic Spectrum Access,” Proceedings of DySPAN 2014, McLean, VA, April 2014.
[40] N. Khambekar, C. M. Spooner, and V. Chaudhary, “Estimating the Use of Spectrum for Defining and Enforcing the Spectrum Access Rights,” Proceedings of MILCOM, Tampa, FL, October 2015.
[41] N. Khambekar, C. M. Spooner, and V. Chaudhary, “Characterization of the Missed Spectrum-Access Opportunities Under Dynamic Spectrum Sharing,” Proceedings of COMSNETS, Bangalore, India, January 2016.
[42] N. Khambekar, C. M. Spooner, and V. Chaudhary, “MUSE: A Methodology for Quantifying Spectrum Usage,” Proceedings of Globecom 2016, December 4-8, 2016, Washington, DC.
[43] C. M. Spooner and A. N. Mody, “Wideband Cyclostationary Signal Processing Using Sparse Subsets of Narrowband Subchannels,” IEEE Transactions on Cognitive Communications and Networking, Vol. 4, No. 2, pp. 162-176, June 2018.
[44] C. M. Spooner, A. N. Mody, J. Chuang, and J. Petersen, “Modulation Recognition Using Second- and Higher-Order Cyclostationarity,” Proceedings of DySPAN 2017, Battle of the ModRecs Workshop, March 2017.
[45] M. Carrick, J. H. Reed, and C. M. Spooner, “Paramorphic Multicarrier Waveforms and Demodulators for Interference Mitigation,” EURASIP Journal on Advances in Signal Processing, January 2018.
[46] M. Carrick, J. H. Reed, and C. M. Spooner, “Mitigating Linear-Frequency-Modulated Pulsed Radar Interference to OFDM,” IEEE Transactions on Aerospace and Electronic Systems, Vol. 55, No. 3, pp. 1146-1159, June 2019.
[47] J. Hofmann, A. Knopp, C. M. Spooner, G. Minelli, and J. Newman, “Spectral Correlation Based Detection of GFSK Modulated LEO Satellite Signals at Very Low SINR,” Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, CA, 2020.
[48] J. Hofmann, A. Knopp, C. M. Spooner, G. Minelli, and J. Newman, “Spectral Correlation for Signal Presence Detection and Frequency Acquisition of Small Satellites,” MDPI Aerospace, Vol. 8, N0. 2, https://www.mdpi.com/2226-4310/8/2/57, 2021.
[49] J. Hofmann, C. M. Spooner, and A. Knopp, “Conjugate Cyclic Feature Detection in the Presence of LEO-Satellite Doppler Effects,” Asilomar Conference on Signals, Systems, and Computers, November 2021.
[50] J. A. Snoap, D. C. Popescu, and C. M. Spooner, “On Deep Learning Classification of Digitally Modulated Signals Using Raw I/Q Data,” IEEE Consumer Communications and Networking Conference, Jan. 2022.
[51] J. A. Latshaw, D. C. Popescu, J. A. Snoap, and C. M. Spooner, “Using Capsule Networks to Classify Digitally Modulated Signals with Raw I/Q Data,” The 14th International Conference on Communications (COMM2022),” Bucharest, Romania, June 2022.
[52] J. A. Snoap, J. A. Latshaw, D. C. Popescu, and C. M. Spooner, “Robust Classification of Digitally Modulated Signals Using Capsule Networks and Cyclic Cumulant Features,” Proceedings of the Conference on Military Communications (MILCOM), Rockville, MD, November 2022.
[53] D. Roy, V. Chaudhury, C. Tassie, C. M. Spooner, and K. Chowdhury, “ICARUS: Learning on IQ and Cycle Frequencies for Detecting Anomalous RF Underlay Signals,” Proceedings of InfoCom 2023, New York, May 2023.
[54] J. A. Snoap, D. C. Popescu, J. A. Latshaw, and C. M. Spooner, “Deep-Learning-Based Classification of Digitally Modulated Signals Using Capsule Networks and Cyclic Cumulants,” MDPI Sensors, June 2023, https://www.mdpi.com/1424-8220/23/12/5735/pdf, DOI: 10.3390/s23125735.
[55] J. A. Snoap, D. C. Popescu, and C. M. Spooner, “Novel Nonlinear Neural-Network Layers for High Performance and Generalization in Modulation-Recognition Applications,” Proceedings of the Conference on Military Communications (MILCOM), Boston, MA, November 2023 [Accepted August 2023].