2 papers
eess.SP2026
Fractional Programming for Kullback-Leibler Divergence in Hypothesis Testing
Jeongwoo Park, Seongkyu Jung, Kaiming Shen +1
Maximizing the Kullback-Leibler divergence (KLD) is a fundamental problem in waveform design for active sensing and hypothesis testing, as it directly relates to the error exponent…
eess.SP2025
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…