Abstract: This paper addresses the well-known local maximum problem of the expectation-maximization (EM) algorithm in blind inter-symbol interference (ISI) channel estimation. This problem primarily ...
Abstract: This letter investigates channel estimation for ultra-massive multiple-input multiple-output (MIMO) communications. We propose a joint low-rank and sparse Bayesian estimation (LRSBE) ...
Google Research recently revealed TurboQuant, a compression algorithm that reduces the memory footprint of large language ...
This study combines satisfaction, achievement motivation, and social identity theories to construct a dynamic discrete choice ...
A joint research team between the Center for Quantum Information and Quantum Biology (QIQB) at The University of Osaka and ...
Travel prices often appear unpredictable, but the reality is far more calculated. Airlines, hotels, and booking platforms now rely on dynamic pricing models instead of static charts. Each seat or room ...
As the electricity market is progressively liberalized, virtual bidding has emerged as a novel participation mechanism attracting increasing attention. This paper integrates evolutionary game theory ...
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