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EM-Based Maximum-Likelihood Channel Estimation in Multicarrier Systems With Phase Distortion.

, , , and . IEEE Trans. Veh. Technol., 62 (1): 152-160 (2013)

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Identification of sparse FIR systems using a general quantisation scheme., , , , and . Int. J. Control, 87 (4): 874-886 (2014)EM-based sparse channel estimation in OFDM systems with ℓq-norm regularization in the presence of phase noise and frequency offset., , , and . LATINCOM, page 1-6. IEEE, (2015)On maximum likelihood estimation of channel impulse response and carrier frequency offset in OFDM systems., , and . LATINCOM, page 1-4. IEEE, (2017)EM-based ML channel estimation in OFDM systems with phase distortion using RB-EKF., , , , and . WPMC, page 232-237. IEEE, (2014)Patient Timelines for Research-Oriented Exploration of Longitudinal Cancer Patient Data: PT Explorer., , , , , , , , and . AMIA, AMIA, (2019)A map approach for ℓq-norm regularized sparse parameter estimation using the EM algorithm., , , and . MLSP, page 1-6. IEEE, (2015)Sparse logistic regression utilizing cardinality constraints and information criteria., , , , and . CCA, page 798-803. IEEE, (2016)Finite Impulse Response Errors-in-Variables System Identification Utilizing Approximated Likelihood and Gaussian Mixture Models., , , , and . IEEE Access, (2023)Concept Maps: Integrating Knowledge and Information Visualization., , , , , , , and . Knowledge and Information Visualization, volume 3426 of Lecture Notes in Computer Science, page 205-219. Springer, (2005)A Bayesian approach to sparse channel estimation in OFDM systems., , and . CoRR, (2013)