Gaussian Mixture Noise Channels With Minimum and Peak Amplitude Constraints
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[1] A. V. Arkhangel’skiǐ,et al. The Basic Concepts and Constructions of General Topology , 1990 .
[2] D. Middleton,et al. Channel Modeling and Threshold Signal Processing in Underwater Acoustics: An Analytical Overview , 1987 .
[3] Shlomo Shamai,et al. The capacity of average and peak-power-limited quadrature Gaussian channels , 1995, IEEE Trans. Inf. Theory.
[4] Lav R. Varshney,et al. Transporting information and energy simultaneously , 2008, 2008 IEEE International Symposium on Information Theory.
[5] Frank R. Kschischang,et al. Capacity-achieving probability measure for conditionally Gaussian channels with bounded inputs , 2005, IEEE Transactions on Information Theory.
[6] Dongning Guo,et al. Capacity of Gaussian Channels With Duty Cycle and Power Constraints , 2012, IEEE Transactions on Information Theory.
[7] Tareq Y. Al-Naffouri,et al. Impulsive noise estimation and cancellation in DSL using orthogonal clustering , 2011, 2011 IEEE International Symposium on Information Theory Proceedings.
[8] Mehul Motani,et al. Subblock-Constrained Codes for Real-Time Simultaneous Energy and Information Transfer , 2015, IEEE Transactions on Information Theory.
[9] M. Loève. Probability theory : foundations, random sequences , 1955 .
[10] Daniela Tuninetti,et al. Interference as Noise: Friend or Foe? , 2015, IEEE Transactions on Information Theory.
[11] Tho Le-Ngoc,et al. Approximation of Achievable Rates in Additive Gaussian Mixture Noise Channels , 2016, IEEE Transactions on Communications.
[12] Aslan Tchamkerten,et al. On the discreteness of capacity-achieving distributions , 2004, IEEE Transactions on Information Theory.
[13] Tho Le-Ngoc,et al. Capacity-Achieving Input Distributions of Additive Quadrature Gaussian Mixture Noise Channels , 2015, IEEE Transactions on Communications.
[14] Joel G. Smith,et al. The Information Capacity of Amplitude- and Variance-Constrained Scalar Gaussian Channels , 1971, Inf. Control..
[15] Ibrahim C. Abou-Faycal,et al. Using Hermite Bases in Studying Capacity-Achieving Distributions Over AWGN Channels , 2012, IEEE Transactions on Information Theory.
[16] Samir Medina Perlaza,et al. Capacity approximation of continuous channels by discrete inputs , 2018, 2018 52nd Annual Conference on Information Sciences and Systems (CISS).
[17] Mehul Motani,et al. Binary subblock energy-constrained codes: Bounds on code size and asymptotic rate , 2017, 2017 IEEE International Symposium on Information Theory (ISIT).
[18] Mehul Motani,et al. Gaussian channels with minimum amplitude constraints: When is optimal input binary? , 2017, 2017 IEEE International Symposium on Information Theory (ISIT).
[19] Kamyar Moshksar,et al. Capacity-Achieving Distributions in Gaussian Multiple Access Channel With Peak Power Constraints , 2014, IEEE Transactions on Information Theory.
[20] Mehul Motani,et al. Bounds on the asymptotic rate of binary constant subblock-composition codes , 2017, 2017 IEEE International Symposium on Information Theory (ISIT).
[21] Yi Hong,et al. On the capacity of the Gaussian mixture channel under average and peak power constraints , 2015, 2015 22nd International Conference on Telecommunications (ICT).
[22] Bruno Clerckx,et al. On the capacity of vector Gaussian channels with bounded inputs , 2014, 2015 IEEE International Conference on Communications (ICC).
[23] Costas Assimakopoulos,et al. An Enhanced Powerline Channel Noise Model , 2006 .
[24] Alfredo Sanz,et al. On the suitability of the Middleton class A noise model for narrowband PLC , 2016, 2016 International Symposium on Power Line Communications and its Applications (ISPLC).
[25] W. Rudin. Real and complex analysis, 3rd ed. , 1987 .
[26] Bin Han,et al. Noise characterization and emulation for low-voltage power line channels across narrowband and broadband , 2017, Digit. Signal Process..
[27] Shlomo Shamai,et al. Estimation in Gaussian Noise: Properties of the Minimum Mean-Square Error , 2010, IEEE Transactions on Information Theory.