GitHub

Riemannian Geometry-Based Spatial Filtering (RSF)

Riemannian Geometry-Based Spatial Filtering (RSF) is a method based on Riemannian geometry designed to improve the accuracy of motor imagery (MI) and electroencephalogram (EEG) signal classification.
IEEE

Frequency-Limited Reduced Models for Linear and Bilinear Systems on the Riemannian Manifold

Abstract: In this article, we propose two new iterative algorithms to solve the frequency-limited Riemannian optimization model order reduction problems of linear and bilinear systems. Different from ...
IEEE

Is Riemannian Geometry Better than Euclidean in Averaging Covariance Matrices for CSP-based Subject-Independent Classification of Motor Imagery?

Abstract: Common Spatial Pattern (CSP) is a popular feature extraction algorithm used for electroencephalogram (EEG) data classification in brain-computer interfaces. One of the critical operations ...