The Literature

[R1] W.  A. Gardner, Statistical Spectral Analysis, Englewood Cliffs, NJ: Prentice-Hall, 1987.

[R2] L. Izzo and A. Napolitano, “The Higher-Order Theory of Generalized Almost Cyclostationary Time Series,”” IEEE Trans. Signal Proc., Vol. 46, No. 11, pp. 2975–2989, Nov. 1998.

[R3] W. A. Brown and H. H. Loomis, Jr., “Digital Implementations of Spectral Correlation Analyzers,” IEEE Trans.  Signal Proc., Vol. 41, No. 2, February 1993, pp. 703–720.

[R4] R. S. Roberts, W. A. Brown, and H. H. Loomis, Jr., “Computationally Efficient Algorithms for Cyclic Spectral Analysis,” IEEE Signal Processing Magazine, April 1991, pp. 38–49.

[R5] W. A. Gardner, “Measurement of Spectral Correlation,” IEEE Transactions on Acoustics, Speech, and Signal Processing, Vol. 34, No. 5, pp. 1111–1123, Oct. 1986.

[R6] W. A. Gardner. “Cyclic Wiener Filtering: Theory and Method,” IEEE Trans. Comm., Vol. 40, 1992.

[R7] W. A. Gardner, “The Role of Spectral Correlation in Design and Performance Analysis of Synchronizers,” IEEE Trans. Information Theory, Vol 34, pp. 1089–1095, 1986.

[R8]  A. Napolitano, Generalizations of Cyclostationary Signal Processing: Spectral Analysis and Applications, John Wiley & Sons, Ltd. – IEEE Press, 2012. Print ISBN10: 111997335X ISBN13: 9781119973355, Online ISBN: 9781118437926, doi: 10.1002/9781118437926 .

[R9] A. Napolitano “Cyclostationarity: Limits and Generalizations”, Signal Processing, 2016, in press. doi: 10.1016/j.sigpro.2015.09.013.

[R10] A. Napolitano “Cyclostationarity: New Trends and Applications”, Signal Processing, 2016, in press. doi: 10.1016/j.sigpro.2015.09.011.

[R11] A. Napolitano and I. Perna, “Cyclic Spectral Analysis of the GPS Signal,” Digital Signal Processing, (Elsevier), vol. 33, pp. 13-33, October 2014. doi: 10.1016/j.dsp.2014.06.003.

[R12] A. Napolitano, “Sampling of Spectrally Correlated Processes,” IEEE Transactions on Signal Processing, vol. 59, n. 2, pp. 525-539, February 2011. ISSN: 1053-587X doi: 10.1109/TSP.2010.2090873.

[R13] A. Napolitano and M. Tesauro, “Almost-Periodic Higher-Order Statistic Estimation,”  IEEE Transactions on Information Theory, vol. 57, n. 1, pp. 514-533, January 2011. ISSN: 0018-9448 doi: 10.1109/TIT.2010.2090244.

[R14] A. Napolitano, “Sampling Theorems for Doppler-Stretched Wide-Band Signals,” Signal Processing, vol. 90, n. 7, pp. 2276-2287, July 2010. ISSN: 0165-1684 doi: 10.1016/j.sigpro.2010.02.016.

[R15] A. Napolitano, “Discrete-Time Estimation of Second-Order Statistics of Generalized Almost-Cyclostationary Processes,” IEEE Transactions on Signal Processing, vol. 57, n. 5, pp. 1670-1688, May 2009. ISSN: 1053-587X doi: 10.1109/TSP.2009.2013889.

[R16] A. Napolitano, “Estimation of Second-Order Cross-Moments of Generalized Almost-Cyclostationary Processes”, IEEE Transactions on Information Theory, vol. 53, n. 6, pp. 2204-2228, June 2007. ISSN: 0018-9448 doi: 10.1109/TIT.2007.896868.

[R17] T. Fusco, L. Izzo, A. Napolitano and M. Tanda, “On the Second-Order Cyclostationarity Properties of Long-Code DSSS Signals”, IEEE Transactions on Communications, vol. 54, n. 10, pp. 1741-1746, October 2006. ISSN: 0090-6778 doi: 10.1109/TCOMM.2006.881353.

[R18] W. A. Gardner, A. Napolitano, and L. Paura, “Cyclostationarity: Half a Century of Research,” Signal Processing, vol. 86, n. 4, pp. 639-697, April 2006.ISSN: 0165-1684 doi: 10.1016/j.sigpro.2005.06.016.

[R19] A. Napolitano, “Uncertainty in Measurements on Spectrally Correlated Stochastic Processes”,  IEEE Transactions on Information Theory, vol. 49, pp. 2172-2191, September 2003. ISSN: 0018-9448 doi: 10.1109/TIT.2003.815768.

[R20] L. Izzo and A. Napolitano, “Sampling of Generalized Almost-Cyclostationary Signals”, IEEE Transactions on Signal Processing, vol. 51, pp. 1546-1556, June 2003. ISSN: 1053-587X doi: 10.1109/TSP.2003.811236.

[R21] L. Izzo and A. Napolitano, “Linear Time-Variant Transformations of Generalized Almost-Cyclostationary Signals, Part II: Development and Applications”, IEEE Transactions on Signal Processing, vol. 50, pp. 2962-2975, December 2002. ISSN: 1053-587X doi: 10.1109/TSP.2002.805500.

[R22] L. Izzo and A. Napolitano, “Linear Time-Variant Transformations of Generalized Almost-Cyclostationary Signals, Part I: Theory and Method”, IEEE Transactions on Signal Processing, vol. 50, pp. 2947-2961, December 2002. ISSN: 1053-587X doi: 10.1109/TSP.2002.805499.

[R23] A. Napolitano and C.M. Spooner, “Cyclic Spectral Analysis of Continuous-Phase Modulated Signals”, IEEE Transactions on Signal Processing, vol. 49, pp. 30-44, January 2001. ISSN: 1053-587X doi: 10.1109/78.890336.

[R24] A. Napolitano and C.M. Spooner, “Median-Based Cyclic Polyspectrum Estimation”, IEEE Transactions on Signal Processing, vol. 48, pp. 1462-1466, May 2000. ISSN: 1053-587X doi: 10.1109/78.839992.

[R25] F. Flagiello, L. Izzo and A. Napolitano, “A Computationally Efficient and Interference Tolerant Nonparametric Algorithm for LTI System Identification Based on Higher-Order Cyclic Statistics”, IEEE Transactions on Signal Processing, vol. 48, pp. 1040-1052, April 2000. ISSN: 1053-587X doi: 10.1109/78.827538.

[R26] L. Izzo and A. Napolitano, “Multirate Processing of Time-Series Exhibiting Higher-Order Cyclostationarity”, IEEE Transactions on Signal Processing, vol. 46, pp. 429-439, February 1998. ISSN: 1053-587X doi: 10.1109/78.655427.

[R27] L. Izzo and A. Napolitano, “Higher-Order Statistics for Rice’s Representation of Cyclostationary Signals”, Signal Processing, vol. 56, pp. 279-292, February 1997. ISSN: 0165-1684 doi: 10.1016/S0165-1684(96)00175-2.

[R28] L. Izzo and A. Napolitano, “Higher-Order Cyclostationarity Properties of Sampled Time-Series”, Signal Processing, vol. 54, pp. 303-307, November 1996. ISSN: 0165-1684 doi: 10.1016/S0165-1684(96)00157-0.

[R29] A. Napolitano, “Cyclic Higher-Order Statistics: Input/Output Relations for Discrete- and Continuous-Time MIMO Linear Almost-Periodically Time-Variant Systems,” Signal Processing, vol. 42, No. 2, pp. 147-166, March 1995. ISSN: 0165-1684 doi: 10.1016/0165-1684(94)00124-I.

[R30] O. A. Dobre, “Signal Identification for Emerging Intelligent Radios: Classical Problems and New Challenges,” IEEE Instrumentation and Measurement Magazine, vol. 18, pp. 11-18, April 2015.

[R31] H. Wang, O. A. Dobre, C. Li, and D. Popescu, “Blind Cyclostationarity-Based Symbol Period Estimation for FSK Signals,” IEEE Communications Letters, accepted May 2015.

[R32] W. Jerjawi, Y. Eldemerdash, and O. A. Dobre, “Second-Order Cyclostationarity-Based Detection of LTE SC-FDMA Signals for Cognitive Radio Systems,” IEEE Transactions on Instrumentation and Measurement, Vol. 64, pp. 823-833, March 2015.

[R33] E. Karami and O. A. Dobre, “Identification of SM-OFDM and AL-OFDM Signals Based on Their Second-Order Cyclostationarity,” IEEE Transactions on Vehicular Technology, vol. 64, pp. 942-953, March 2015.

[R34] Q. Zhang, O. A. Dobre, Y. Eldemerdash, S. Rajan, and R. Inkol, “Second-Order Cyclostationarity of BT-SCLD Signals: Theoretical Developments and Applications to Signal Classification and Blind Parameter Estimation,” IEEE Transactions on Wireless Communications, vol. 12, pp. 1501 – 1511, April 2013.

[R35] A. Al-Habashna, O. A. Dobre, R. Venkatesan, and D. C. Popescu, “Second-Order Cyclostationarity of Mobile WiMAX and LTE OFDM Signals and Application to Spectrum Awareness in Cognitive Radio Systems,” IEEE Journal of Selected Topics in Signal Processing, vol. 6, pp. 26-42, Feb. 2012.

[R36] M. Marey, O. A. Dobre, and R. Inkol, “Classification of Space-Time Block Codes Based on Second-Order Cyclostationarity with Transmission Impairments,” IEEE Transactions on Wireless Communications, vol. 11, pp. 2574-2584, July 2012.

[R37] O. A. Dobre, M. Oner, S. Rajan, and R. Inkol, “Cyclostationarity-Based Robust Algorithms for QAM Signal Identification,” IEEE Communications Letters, vol. 16, pp. 12-15, Jan. 2012.

[R38] M. Oner and O. A. Dobre, “On the Second-Order Cyclic Statistics of Signals in the Presence of Receiver Impairments,” IEEE Transactions on Communications, vol. 59, pp. 3278 -3284, Dec. 2011.

[R39] Punchihewa, Q. Zhang, O. A. Dobre, C. 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 Application,” IEEE Transactions on Wireless Communications, vol. 9, pp. 2588 – 2599, August 2010.

[R40] O. A. Dobre, A. Abdi, Y. Bar-Ness, and W. Su, “Cyclostationarity-Based Modulation Classification of Linear Digital Modulations in Flat Fading Channels,” Wireless Personal Communications, Vol 54, pp. 699-717, Sept. 2010.

[R41] O. A. Dobre, S. Rajan, and R. Inkol, “Joint Signal Detection and
Classification Based on First-Order Cyclostationarity for Cognitive Radios,” EURASIP Journal on Advances in Signal Processing, Special Issue on Dynamic Spectrum Access for Wireless Networking, Vol. 2009, pp. 1-12, July 2009.

[R42] P. J. Daniell, “Discussion of ‘On the Theoretical Specification and Sampling Properties of Autocorrelated Time-Series,'” Journal of the Royal Statistical Society, Vol. 8, pp. 88-90, 1946.

[R43] S. L. Marple, Digital Spectral Analysis with Applications, Prentice-Hall, Englewood Cliffs, NJ, 1987.

[R44] J. Proakis and M. Salehi, Digital Communications, 5th Edition, McGraw-Hill Education, November 2007.

[R45] D. Ramirez et al, “Detection of Multivariate Cyclostationarity,” IEEE Trans Signal Proc, Vol. 63, No. 20, pp. 5395-5408, October 2015.

[R46] W. A. Gardner, “Spectral Correlation of Modulated Signals: Part I–Analog Modulation,” IEEE Transactions on Communications, Vol. 35, No. 6, pp. 584-594, June 1987.

[R47] W. A. Gardner, W. A. Brown, and C-K Chen, “Spectral Correlation of Modulated Signals: Part II–Digital Modulation,” IEEE Transactions on Communications, Vol. 35, No. 6, pp. 595-601, June 1987.

[R48] W. A. Gardner and C-K Chen, “Signal-Selective Time-Difference-of-Arrival Estimation for Passive Location of Man-Made Signal Sources in Highly Corruptive Environments, Part I: Theory and Method,” IEEE Transactions on Signal Processing, Vol. 40, No. 5, pp. 1168-1184, May 1992.

[R49] C-K Chen and W. A. Gardner, “Signal-Selective Time-Difference-of-Arrival Estimation for Passive Location of Man-Made Signal Sources in Highly Corruptive Environments, Part I: Algorithms and Performance,” IEEE Transactions on Signal Processing, Vol. 40, No. 5, pp. 1185-1197, May 1992.

[R50] G. Fong, W. A. Gardner, and S. V. Schell, “An Algorithm for Improved Signal-Selective Time-Difference Estimation for Cyclostationary Signals,” IEEE Signal Processing Letters, Vol. 1, No. 2, pp. 38-40, Feb. 1994.

[R51] W. A. Gardner and C-K Chen, “Interference-Tolerant Time-Difference-of-Arrival Estimation for Modulated Signals,” IEEE Transactions on Acoustics, Speech, and Signal Processing, Vol. 36, No. 9, pp. 1385-1395, Sept. 1988.

[R52] C. H. Knapp and G. C. Carter, “The Generalized Correlation Method for Estimation of Time Delay,” IEEE Transactions on Acoustics, Speech, and Signal Processing, Vol. 24, No. 4, pp. 320-327, August 1976.

[R53] G. C. Carter and A. H. Nutall, “Statistics of the Estimate of Coherence,” IEEE Proceedings (Letters), pp. 465-466, April 1972.

[R54] K. Scarbrough, R. J. Tremblay, and G. C. Carter, “Performance Predictions for Coherent and Incoherent Processing Techniques of Time Delay Estimation,” IEEE Transactions on Acoustics, Speech, and Signal Processing,” Vol. 31, No. 5, pp. 1191-1196, October 1983.

[R55] G. C. Carter, “Time Delay Estimation for Passive Sonar Signal Processing,” IEEE Transactions on Acoustics, Speech, and Signal Processing, Vol. 29, No. 3, pp. 463-470, June 1983.

[R56] K. Scarbrough, N. Ahmed, and G. C. Carter, “On the Simulation of a Class of Time Delay Estimation Algorithms,” IEEE Transactions on Acoustics, Speech, and Signal Processing, Vol. 29, No. 3, pp. 534-540, June 1981.

[R57] G. C. Carter, A. H. Nutall, and P. G. Cable, “The Smoothed Coherence Transform,” IEEE Proceedings (Letters),” pp. 1497-1498, Oct. 1973.

[R58] G. C. Carter, “Coherence and Time Delay Estimation,” IEEE Proceedings, Vol. 75, No. 2, pp. 236-255, Feb. 1987.

[R59] A. O. Hero and S. C. Schwartz, “A New Generalized Cross Correlator,” IEEE Transactions on Acoustics, Speech, and Signal Processing,” Vol. 33, No. 1, pp. 38-45, Feb. 1985.

[R60] R. L. Kirlin and J. N. Bradley, “Delay Estimation Simulations and a Normalized Comparison of Published Results,” IEEE Transactions on Acoustics, Speech, and Signal Processing, Vol. 30, No. 3, pp. 508-511, June 1982.

[R61] C. R. Holt, “Two Channel Likelihood Detectors for Arbitrary Linear Channel Distortion,” IEEE Transactions on Acoustics, Speech, and Signal Processing, Vol. 35, No. 3, pp. 267-273, March 1987.

[R62] M. Wax, “The Estimate of Time Delay Between Two Signals with Random Relative Phase Shift,” IEEE Transactions on Acoustics, Speech, and Signal Processing, Vol. 29, No. 3, pp. 497-501, June 1981.

[R63] S. Stein, “Algorithms for Ambiguity Function Processing,” IEEE Transactions on Acoustics, Speech, and Signal Processing, Vol. 29, No. 3, pp. 588-599, June 1981.

[R64] G. C. Carter, “Receiver operating characteristics for a linearly thresholded coherence estimation detector,” IEEE Transactions on Acoustics, Speech, and Signal Processing, Vol. 25, Issue 1, pp. 90-92, Feb. 1997.

[R65] W. A. Gardner, “Signal Interception: A Unifying Theoretical Framework for Feature Detection,” IEEE Transactions on Communications, Vol. 36, No. 8, pp. 897-906, August 1988.

[R66] D. E. Reed and M. A. Wickert, “Minimization of Detection of Symbol-Rate Spectral Lines by Delay and Multiply Receivers,” IEEE Transactions on Communications, Vol. 36, N0. 1, pp. 118-120, Jan. 1988.

[R67] W. A. Gardner, “Two Alternative Philosophies for Estimation of the Parameters of Time-Series,” IEEE Transactions on Information Theory, Vol. 37, No. 1, pp. 216-218, January 1991.

[R68] W. A. Gardner, “Common Pitfalls in the Application of Stationary Process Theory to Time-Sampled and Modulated Signals,” IEEE Transactions on Communications, Vol. 35, No. 5, pp. 529-534, May 1987.

[R69] E. Rebeiz, F. Yuan, P. Urriza, D. Markovic, and D. Cabric, “Energy-Efficient Processor for Blind Signal Classification in Cognitive Radio Networks,” IEEE Transactions on Circuits and Systems, Vol. 61, No. 2, pp. 587-599, Feb. 2014.

[R70] P. Stoica and R. Moses, Introduction to Spectral Analysis, Prentice-Hall, New Jersey, 1997.

[R71] W. M. Jang, “Blind Cyclostationary Spectrum Sensing in Cognitive Radios,” IEEE Communications Letters, Vol. 18, N0. 3, pp. 393-396, March 2014.

[R72] A. Polydoros and K. Kim. “On the Detection and  Classification of Quadrature Digital Modulations in Broad-Band Noise,”  IEEE Transactions on Communications, Vol. 38, pp. 1199–1211,
Aug. 1990.

[R73]  C-Y Huang and A. Polydoros. “Likelihood Methods for MPSK  Modulation Classification,” IEEE Transactions on Communications,  Vol. 43, pp. 1493–1504, Feb.–Apr. 1995.

[R74] F. F. Liedtke. “Computer Simulation of an Automatic  Classification Procedure for Digitally Modulated Communication Signals with Unknown Parameters,” Signal Processing, Vol. 6, No. 4, pp.  311–323, Aug. 1984.

[R75]  F. Jondral. “Automatic Classification of High Frequency Signals,” Signal Processing, Vol. 9, No. 3, pp. 177–190, Oct. 1985.

[R76]  R. J. Mammone, R. J. Rothaker, C. I. Podilchuk, S. Davidovici, and D. L. Schilling. “Estimation of Carrier Frequency,  Modulation Type and Bit Rate of an Unknown Modulated Signal,”Proceedings of the International Communications Conference (ICC),
pp. 28.4.1–28.4.7, 1987.

[R77] L. V. Dominguez, J. M. P. Borrallo, and J. P. Garcia. “A General Approach to the Automatic Classification of Radiocommunication Signals,”  Signal Processing, Vol. 22, pp. 239–250, Mar. 1991.

[R78]  J. Aisbett. “Automatic Modulation Recognition Using Time Domain Parameters,”  Signal Processing, Vol. 13, No. 3, pp. 323–328, Oct. 1987.

[R79] Y. T. Chan and L. G. Gadbois. “Identification of the Modulation Type of a Signal,” Signal Processing, Vol. 16, No. 2, pp. 149–154, Feb. 1989.

[R80] J. E. Hipp. “Modulation Classification Based on Statistical Moments,”  Proceedings of MILCOM ’86, pp. 20.2.1–20.2.6, 1986.

[R81] Q. Zhu, M. Kam, and R. Yeager. “Non-Parametric Identification of QAM Constellations in Noise,” Proceedings of ICASSP ’93, pp. IV-184–IV-187, 1993.

[R82] Y. K. Kim and C. L. Weber.  “Generalized Single Cycle Classifier with Applications to SQPSK v.s. $2^k$PSK,”  Proceedings of MILCOM ’89, pp. 46.1.1–46.1.5, 1989.

[R83]  S-Z Hsue and S. S. Soliman. “Automatic Modulation Recognition of Digitally Modulated Signals,” Proceedings of MILCOM ’89 , pp. 37.4.1–37.4.5, 1989.

[R84] S. S. Soliman and S-Z Hsue. “Signal Classification Using Statistical Moments,”  IEEE Transactions on Communications, Vol. 40, pp. 908–916, May 1992.

[R85] B. F. Rice, S. R. Smith, and R. A. Threlkeld. “A Neural Network Classifier for Cyclostationary Signals,”  Proceedings of ICASSP ’94.

[R86] E. E. Azzouz and A. K. Nandi, Automatic Modulation Recognition of Communication Signals, Kluwer Academic, 1996.

[R87] B. G. Mobasseri, “Digital Modulation Classification using Constellation Shape,”  Signal Processing, Vol. 80, pp. 251–277, 2000.

[R88] J. Reichert, “Automatic Classification of Communication Signals using Higher-Order Statistics,”  Proceedings of ICASSP, San Francisco, CA, pp. V-221–V-224, April 1992.

[R89] C. Schreyogg, K. Kittel, and U. Kressel, “Robust Classification of Modulation Types using Spectral Features Applied to HMM,”  Proceedings of MILCOM, Monterey, CA, 1997.

[R90] A. Swami and B. M. Sadler, “Hierarchical Digital Modulation Classification Using Cumulants,” IEEE Transactions on Communications, Vol. 48, No. 3, pp. 416–429, March 2000.

[R91] W. Wei and J. M. Mendel, “A Fuzzy Logic Method for Modulation Classification in Ideal Environments,”  IEEE Transactions on Fuzzy Systems, Vol. 7, No. 3, pp. 333–344, June 1999.

[R92] W. Wei and J. M. Mendel, “Maximum-Likelihood Classification for Digital Amplitude-Phase Modulations,”  IEEE Transactions on Communications, Vol. 48, No. 2, pp. 189–193, February 2000.

[R93] Y. Yang and S. S. Soliman. “An Improved Moment-Based Algorithm for Signal Classification,”  Signal Processing, Vol. 43, pp. 231–244, 1995.

[R94]  Y. Yang and C.-H. Liu. “An Asymptotic Optimal Algorithm for Modulation Classification,”  IEEE Communications Letters, Vol. 2, No. 5, pp. 117–119, May 1998.

[R95] A. Napolitano and M. Tanda, “Blind Parameter Estimation in Multiple-Access Systems,” IEEE Transactions on Communications, Vol. 49, No. 4, pp. 688-698, April 2001.

[R96] M. J. Ready, M. L. Downey, and L. J. Corbalis, “Automatic Noise Floor Spectrum Estimation in the Presence of Signals,” Proceedings of the Thirty-First Asilomar Conference on Signals, Systems and Computers, Pacific Grove, CA, USA, 1997, pp. 877-881.

[R97] S. Haykin, “Cognitive Radio: Brain-Empowered Wireless Communications,” IEEE Journal on Selected Areas in Communications, vol. 23, no. 2, pp. 201-220, Feb. 2005.

[R98] D. J. Thomson, “Spectrum Estimation and Harmonic Analysis,” Proceedings of the IEEE, vol. 70, no. 9, pp. 1055-1096, Sept. 1982.

[R99] A. Krizhevsky, I. Sutskever, and G. E. Hinton, “ImageNet Classification with Deep Convolution Neural Networks,” Advances in Neural Information Processing Systems 25, F. Pereira Editor, 2012, pp. 1097–1105. Also https://www.nvidia.cn/content/tesla/pdf/machine-learning/imagenet-classification-with-deep-convolutional-nn.pdf.

 

 

 

 

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