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Achieving Csiszár's source-channel coding exponent with product distributions., , , , and . ISIT, page 1548-1552. IEEE, (2012)Large-system analysis of a CDMA dynamic channel under a Markovian input process., , , and . ISIT, page 1793-1797. IEEE, (2008)Source-channel coding with multiple classes., , , , , and . ISIT, page 1514-1518. IEEE, (2014)Random-coding joint source-channel bounds., , , and . ISIT, page 899-902. IEEE, (2011)Multi-Class Source-Channel Coding., , , , , and . IEEE Trans. Inf. Theory, 62 (9): 5093-5104 (2016)A Derivation of the Source-Channel Error Exponent Using Nonidentical Product Distributions., , , , and . IEEE Trans. Inf. Theory, 60 (6): 3209-3217 (2014)The dynamics of human cognition: Increasing global integration coupled with decreasing segregation found using iEEG., , , , , , and . NeuroImage, (2018)Large-System Analysis of Multiuser Detection with an Unknown Number of Users: A High-SNR Approach, , and . CoRR, (2010)Bayesian M-Ary Hypothesis Testing: The Meta-Converse and Verdú-Han Bounds Are Tight., , , and . IEEE Trans. Inf. Theory, 62 (5): 2324-2333 (2016)The meta-converse bound is tight., , , and . ISIT, page 1730-1733. IEEE, (2013)