Blind separation of electron paramagnetic resonance signals using diversity minimization.
This paper presents a method for the blind separation of Electron Paramagnetic Resonance (EPR) spectroscopy signals that can aid in the detection of free radicals in living organisms. Observed EPR signals are often mixtures of source signals that are approximately "sparse", with a small number of narrow segments of the signal much larger than the remaining parts. We develop a method to separate the sources through minimizing a p-norm-like diversity measure under some mild assumptions which are generally valid for EPR signals. Simulations demonstrate that the proposed method performs well on EPR signal separation, with better robustness to noise compared to other techniques.
Guo
Xiansheng
X
Department of Electrical and Electronic Engineering, University of Hong Kong, Pokfulam Road, Hong Kong, China.
Chang
Chunqi
C
Lam
Edmund Y
EY
D001704:Biopolymers / Q000032:analysis* / Q000737:chemistry; D045424:Complex Mixtures / Q000032:analysis* / Q000737:chemistry; D003198:Computer Simulation; D004578:Electron Spin Resonance Spectroscopy / Q000379:methods*; D005609:Free Radicals / Q000032:analysis* / Q000737:chemistry; D008956:Models, Chemical
D001704:Biopolymers; D045424:Complex Mixtures; D005609:Free Radicals