IEEE

Matrix-Inversion-Free Sparse Bayesian Learning for High-Resolution Radar Imagery via Improved Variational Inference

Abstract: Sparse Bayesian learning (SBL) is an advanced statistical framework that dominantly enhances the sparse features of targets of interest in radar imagery. A widely adopted strategy for ...
IEEE

An Innovative Low-Rank Sparse Matrix Decomposition Clutter Suppression Method Based on Non-Convex Alternatives for Pseudo-Random-Coded Ground-Penetrating Radar

Abstract: This article analyzes the composition and characteristics of echo signals in a pseudorandom-coded ground-penetrating radar (GPR). Based on these characteristics, an innovative low-rank ...
GitHub

MATRIX-AI Voice Assistant

A sophisticated voice AI assistant that brings the Matrix aesthetic to conversational AI. Built with Python and powered by ElevenLabs' cutting-edge Conversational AI API, this application delivers ...
GitHub

CoreInfer: Accelerating Large Language Model Inference with Semantics-Inspired Adaptive Sparse Activation

CoreInfer is an MLP-free adaptive sparse activation inference method based on sentence-level prediction, achieve a 10.33x speedup compared to the Transformers implementation. The overview framework of ...