Results 11 to 20 of about 738 (173)
Blind Channel Equalization Using Variational Autoencoders [PDF]
2018 IEEE International Conference on Communications Workshops (ICC Workshops), 2018 Accepted to ICC workshop, Promises and Challenges of Machine Learning in Communication Networks (ML4COM ...
Avi Caciularu, David Burshtein
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Deep-Learning for Generic Blind-Joint Channel Equalization and Power Amplifier Post-Distortion
IEEE Access, 2023 One of the major problems faced in digital communication systems is Inter-Symbol Interference (ISI), induced by the propagation channel in the single carrier based systems.
Chouaib Farhati +5 more
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CoRR, 2012 Future services demand high data rate and quality. Thus, it is necessary to define new and robust algorithms to equalize channels and reduce noise in communications. Nowadays, new equalization algorithms are being developed to optimize the channel bandwidth and reduce noise, namely, Blind Channel Equalization. Conventional equalizations minimizing mean-
Sanaz Moshirian +2 more
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On blind equalization of MIMO channels [PDF]
Proceedings of ICC/SUPERCOMM '96 - International Conference on Communications, 2002 This paper investigates adaptive blind equalization for multiple-input and multiple-output (MIMO) channels and its application to blind separation of multiple signals received by antenna arrays in communication systems. The performance analysis of the CMA equalizer used in MIMO channels is first presented.
null Ye Li, K.J. Ray Lin
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Energies, 2023 In real-world scenarios, deviations in the frequency response of instrumentation transformers can lead to distorted harmonic measurements, highlighting the critical role harmonic measurement plays in assessing power quality.
Denise Fonseca Resende +3 more
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Blind Channel Equalization of Star QAM using Dual Dispersion MCMA Algorithm [PDF]
ITM Web of Conferences, 2019 An algorithm for blind channel equalization is presented for 16 and 32 Star QAM, namely, Dual Dispersion MCMA algorithm. The algorithm taking the concept from MCMA, uses the Dual Dispersion minimization approach for blind channel equalization.
Zaheer Faizan, Amin Sheikh Shahzad
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Sixth-Second Order Normalized Cumulant Blind Equalization Algorithm Based on Oversampling
Dianxin kexue, 2014 Most existing blind equalization algorithms rely on partial or complete channel identification, but the channel order estimation is always a difficult task.
Xiaoqin Zhang, Yongsheng Hu, Liyi Zhang
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Tongxin xuebao, 2014 The timing synchronization is the key technique of the single-channel blind signal receiver.The single-channel blind recovery algorithm based on Turbo equalization was proposed,which does not require the timing synchronization.In the algorithm,the timing
Dong-ling ZHANG +3 more
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Least squares approach to blind channel equalization
IEEE Transactions on Communications, 1999 We present a least squares (LS) algorithm for blind channel equalization based on a reformulation of the Godard algorithm. A transformation for the equalizer parameters is considered to convert the nonlinear LS problem inherent in the Godard algorithm to a linear LS problem.
Kutluyil Dogancay, Rodney A. Kennedy
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Advanced Science, EarlyView.ABSTRACT Glioblastoma multiforme (GBM) remains largely incurable due to the blood‐brain barrier (BBB) and immunosuppressive microenvironment. While boron neutron capture therapy (BNCT) selectively eradicates tumor cells via 10B(n, α)‐7Li reactions, its clinical potential in GBM is unrealized because of the suboptimal pharmacokinetics of conventional ...
Jiawen Chen +22 more
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