3 papers
eess.SP2026
Energy-Efficient State Estimation with 1-Bit Sensing: A Bussgang-Kalman Framework for Internet of Things
Chaehyun Jung, TaeJun Ha, Hyeonuk Kim +1
Accurate state estimation from heavily quantized measurements is a key challenge in resource-constrained Internet of Things (IoT) sensing and tracking, where battery-powered device…
stat.ME2026
Automated selection of r for stationary and nonstationary models for r largest order statistics
Yire Shin, Jihong Park, Jeong-Soo Park
In generalized extreme value model for the r largest order statistics, denoted by rGEV, the selection of r is critical. The existing entropy difference test for selecting r is appl…
eess.SP2026
Learning MMSE Filters for OFDM Channel Estimation: Attention Transformer Gains at Linear Inference
TaeJun Ha, Chaehyun Jung, Hyeonuk Kim +2
In orthogonal frequency division multiplexing (OFDM), accurate channel estimation is crucial. Classical signal processing-based approaches, such as linear minimum mean-squared erro…