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M. A. Mahmoud, A. N. Z. Rashed, “Hybrid NRZ/RZ line coding scheme based hybrid FSO/FO dual”, Indonesian Journal of Electrical Engineering and Computer, vol. 22, No. 2, p.866-873, 2021.Search in Google Scholar
S. Kassam, Signal Detection in Non-Gaussian Noise: Springer Verlag, New York, 2011.Search in Google Scholar
D. Middleton, Non-Gaussian Statistical Communication Theory, a Jonn Willey & Sons, 2012.Search in Google Scholar
Y. Kunchenko, Polynomial Parameter Estimations of Close to Gaussian Random Variables. Aachen: Shaker Verlag, 2002.Search in Google Scholar
M.J.Hautus, N.A.Macmillan, C.D.Creelman, Detection Theory: A User’s Guide, 3rd ed.. Routledge. 2021, doi: 10.4324/9781003203636.Search in Google Scholar
H. L. Van Trees, K. L. Bell, Z. Tiany, Detection Estimation and Modulation Theory, 2rd ed., Part I, Detection, Estimation, and Filtering Theory, John Wiley & Sons, 2013.Search in Google Scholar
S. M. Kay, Fundamentals of Statistical Signal Processing, Prentice Hall PTR, NJ, 2008.Search in Google Scholar
Xian-Da Zhang, Modern Signal Processing. Tsinghua University Press, 2023.Search in Google Scholar
Y. Kunchenko, “A moment Performance Criterions of a Decision-making for Testing Simple Statistical Hypothesis”, in ISIT, Ulm, Germany, vol. 407, 1997,Search in Google Scholar
B. M.Sadler, G. B. Giannakis, and Keh-Shin Lii, “Estimation and detection in non-Gaussian noise using higher order statistics,” in IEEE Transactions on Signal Processing, vol. 42, no. 10, pp. 2729-2741, 1994.Search in Google Scholar
V. Beregun, A. Krasilnikov, “The Use of Cumulant Methods for Distinction of Diagnostic Signals with Gamma Distribution”, Proceedings - IEEE International Conference on Electronics and Nanotechnology, ELNANO, pp. 741–746, 2020.Search in Google Scholar
A. K. Nandi, Blind Estimation Using Higher-Order Statistics: Springer-Verlag, 1999.Search in Google Scholar
V. Chepynoha, A. Chepynoha, V. Palahin, “Polynomial estimation of data model parameters with negative kurtosis”. Radio Electronics, Computer Science, Control. vol.3, рр.64-71, 2023, doi: 10.15588/1607-3274-2023-3-7.Search in Google Scholar
L. Vokorokos, S. Marchevský, A. Ivchenko, E. Palahina, V. Palahin, “Parameters Estimation of Correlated non-Gaussian processes by the Method of Polynomial Maximization”, IET Signal Processing, vol.11, Issue 3, pp. 313 – 319, 2017.Search in Google Scholar
V. Palahin, J. Juhár, O. Zorin, D. Viediernikov, E.Palahina, “Computer Modeling of Noise Signals Proccesing System in non-Gaussian Noise”, IEEE 38th International Conference on Electronics and Nanotechnology (ELNANO-2018), pp.658-662, 2018.Search in Google Scholar
M. Coulon, J.-Y. Tourneret, and A. Swami, “Detection of Multiplicative Noise in Stationary Random Processes Using Second- and Higher Order Statistics”, IEEE Transactions on Signal Processing, vol. 48, no. 9, pp. 2566-2575, 2000.Search in Google Scholar
D. Denkovski, V. Atanasovski, L. Gavrilovska, “HOS Based Goodness-of-Fit Testing Signal Detection”, IEEE Communications Letters, vol. 16(3), pp.310-313, 2012.Search in Google Scholar
F. Duana, F. Chapeau-Blondeaub, D. Abbott, “Non-Gaussian noise benefits for coherent detection of narrow band weak signal”, Physics Letters A. 378, pp.1820–1824, 2014.Search in Google Scholar
M. Tang, Y. Rong, A. De Maio, C. Chen, J. Zhou, “Adaptive radar detection in Gaussian disturbance with structured covariance matrix via invariance theory”, IEEE Trans. Signal Process., vol. 67, no. 21, pp. 5671-5685, 2019.Search in Google Scholar
P. Chevalier, B. Picinbono, “Complex Linear-Quadratic Systems for Detection and Array Processing”, IEEE Transaction on Signal Processing, vol. 44, №10., pp. 2631 – 2634, 1996.Search in Google Scholar
D. Rousseau, G. V. Anand, F. Chapeau–Blondeau, “Noise– enhanced nonlinear detector to improve signal detection in non–Gaussian noise”, IEEE Signal Process., vol. 86, issue 11., pp.3456 – 3465, 2006.Search in Google Scholar
V. Palahin, J. Juhar, S. Leleko, S. Polozhaenko, E. Palahina, “Computer Simulation of Signal Detection in non-Gaussian Noise with the Neyman-Pearson Moment Quality Criterion”, 9th International IEEE Conference Dependable Systems, Services and Technologies DESSERT’2018, pp.639-644., 2018, doi:10.1109/DESSERT.2018.8409203.Search in Google Scholar
V. Palahin, A. Honcharov, V. Umanets, “Computer simulation of polynomial algorithms of radio signals distinction and estimating their parameters”, Eastern-European Journal of Enterprise Technologies, 5(9), pp. 31–39, 2014.Search in Google Scholar
D. Smirnov, E. Palahina, V. Palahin, “Mathematical Modeling of Signal Detection in non-Gaussian Correlated Noise”, Lecture Notes in Networks and Systems, 536 LNNS, pp.65–74, 2023.Search in Google Scholar
D. Smirnov, V. Chepynoha, О. Zorin, А. Honcharov, E. Palahina, V. Palahin, “The Methods of Joint Signal Discrimination and Parameters Estimation in non-Gaussian Noise”, IEEE 4-th International Conference on Advanced Trends in Information Theory, pp.23-27, 2022.Search in Google Scholar