EQ-Net: A Unified Deep Learning Framework for Log-Likelihood Ratio Estimation and Quantization

Marius Arvinte, Ahmed H. Tewfik, Sriram Vishwanath

In this work, we introduce EQ-Net: the first holistic framework that solves both the tasks of log-likelihood ratio (LLR) estimation and quantization using a data-driven method. We…