IEEE

Polynomial Phase Signal Denoising via Sparse Representations Over a SMAF-Based Dictionary Learning Algorithm

Abstract: In this paper, we address the problem of denoising polynomial phase signals (PPS) by removing additive white Gaussian noise. Our approach is based on sparse representation using a trained ...
GitHub

SparseEA: code for "An Evolutionary Algorithm for Large-Scale Sparse Multiobjective Optimization Problems"

SparseEA is a MATLAB-based evolutionary algorithm designed for solving multi-objective feature selection problems in classification tasks. It leverages advanced evolutionary strategies to enhance the ...
IEEE

Fast Robust Sparse Bayesian Learning Image Reconstruction Model Based on Generalized Approximate Message Passing

Abstract: Sparse Bayesian learning (SBL) is an algorithm for high-dimensional data processing based on Bayesian statistical theory. Its goal is to improve the generalization ability and efficiency of ...
GitHub

MoEEG: A Sparse Mixture-of-Experts Transformer for Universal EEG Representation Learning

MoEEG has two variants, Base and Large, which share an identical model architecture but differ in hyperparameter configurations: the Base model features an embedding dimension of 128 with 4 attention ...