GitHub

Functional Models and Algorithms for Sparse Signal Processing

CR-Sparse is a Python library that enables efficiently solving a wide variety of sparse representation based signal processing problems. It is a cohesive collection of sub-libraries working together.
IEEE

Sparse Bayesian Learning-Based Hierarchical Construction for 3D Radio Environment Maps Incorporating Channel Shadowing

Abstract: The radio environment map (REM) visually displays the spectrum information over the geographical map and plays a significant role in monitoring, management, and security of spectrum ...
GitHub

Neural network model repository for highly sparse and sparse-quantized models with matching sparsification recipes

We’re reaching out with heartfelt thanks and important news. Following Neural Magic’s acquisition by Red Hat in January 2025, we’ve shifted our focus to commercial and open-source offerings built ...
IEEE

Joint Sparse Bayesian Learning for Channel Estimation in ISAC

Abstract: In this letter, we investigate channel estimation in integrated sensing and communication and propose a joint sparse Bayesian learning (JSBL) algorithm for the estimation of sensing and ...