Abstract: Joint activity detection and channel estimation is a crucial task in grant-free random access for massive machine-type communications. To enhance communication quality, intelligent ...
Abstract: This paper addresses the challenge of channel estimation in extremely large-scale multiple-input multiple-output (XL-MIMO) systems, pivotal for the advancement of 6G communications. XL-MIMO ...
Course covers numerical optimization, Markov Chain Monte Carlo (MCMC), Metropolis-Hastings, Gibbs sampling, estimation-maximization (EM) algorithms, data augmentation algorithms with applications for ...
Submodular maximization is a significant area of interest in combinatorial optimization, with numerous real-world applications. A research team led by Xiaoming SUN from the State Key Lab of Processors ...
Stroke survivor Mr Leow Cher Hwa improved his balance using "Dr Ba," a wearable robot designed by NTU's Prof Ang Wei Tech after his mother's fall. DRBA uses AI to support elderly users, preventing ...
The audio version of this article is generated by AI-based technology. Mispronunciations can occur. We are working with our partners to continually review and improve the results. Algorithms already ...
Computer science is the study and development of the protocols required for automated processing and manipulation of data. This includes, for example, creating algorithms for efficiently searching ...
Traumatic spinal cord injury (SCI) is a serious neurologic disorder that can result in long-term motor and sensory impairments after external damage to the spinal cord. Although anatomic MRI offers ...
Overview This repository provides a reusable Gaussian Mixture Model implementation trained with Expectation-Maximization using pure numpy. It supports full, diagonal, and spherical covariances, ...
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