spatial filtering = rotation
Published:
Projecting signals with weights obtained by principal or independent component analysis geometrically corresponds to a rotation in an n-dimensional space, n=number of signals. 🌀 pic.twitter.com/qr9Tj2e4IP
— Natalie Schaworonkow (@nschawor) January 30, 2020