Abstract: Maximum likelihood (ML) decoding is the optimal decoding algorithm for arbitrary linear block codes and can be written as an integer programming (IP) problem. Feldman relaxed this IP problem ...

When I started looking into erasure coding techniques, I found many implementations of traditional block codes like Reed-Solomon codes or fountain codes like Raptor codes, though no implementation of ...

📢 If you also engaged in the research of MDLMs or RL, we welcome your suggestions. And feel free to create an issue, when you have any questions about the code. If you are interested in our work, ...

The authors performed extensive coarse-grained molecular dynamics simulations of 140 different prion-like domain variants to interrogate how specific amino acid substitutions determine the driving ...

In this paper, we investigate the decoding performance and corresponding decoding strategies for polar-coded orthogonal frequency division multiplexing (OFDM) system operating under multipath fading ...

Abstract: Guessing random additive noise decoding (GRAND) has been recently proposed as a code-agnostic decoding technique for linear block codes, which attempts to ...

To investigate the processing of speech in the brain, commonly simple linear models are used to establish a relationship between brain signals and speech features. However, these linear models are ill ...

Two stereoscopic cues that underlie the perception of motion-in-depth (MID) are changes in retinal disparity over time (CD) and interocular velocity differences (IOVD). These cues have independent ...

College of Artificial Intelligence, National University of Defense Technology, Changsha, China. Since the end of the 20 th century, with the development and growth of the Internet, people’s demand for ...

Over the past decades, brain-wide vestibular signals have been measured by imaging techniques such as functional MRI, under head- or whole body-restricted status. In such scenarios, caloric or ...