GitHub

mlzxy/qsparse

QSPARSE provides the open source implementation of the quantization and pruning methods proposed in Learning Low-Precision Structured Subnetworks Using Joint Layerwise Channel Pruning and Uniform ...
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 ...
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 ...