1 citations · 1 across the 6 of their papers we have counts for
6 papers
Lorentzian Peak Sharpening and Sparse Blind Source Separation for NMR Spectroscopy
Yuanchang Sun, Jack Xin
In this paper, we introduce a preprocessing technique for blind source separation (BSS) of nonnegative and overlapped data. For Nuclear Magnetic Resonance spectroscopy (NMR), the c…
Computational Modeling of Spectral Data Fitting with Nonlinear Distortions
Yuanchang Sun, Wensong Wu, Jack Xin
Substances such as chemical compounds are invisible to human eyes, they are usually captured by sensing equipments with their spectral fingerprints. Though spectra of pure chemical…
A Geometric Blind Source Separation Method Based on Facet Component Analysis
P. Yin, Y. Sun, J. Xin
Given a set of mixtures, blind source separation attempts to retrieve the source signals without or with very little information of the the mixing process. We present a geometric a…
A Sparse Semi-Blind Source Identification Method and Its Application to Raman Spectroscopy for Explosives Detection
Y. Sun, J. Xin
Rapid and reliable detection and identification of unknown chemical substances is critical to homeland security. It is challenging to identify chemical components from a wide range…
Structure Assisted NMF Methods for Separation of Degenerate Mixture Data with Application to NMR Spectroscopy
Yuanchang Sun, Kai Huang, Jack Xin
In this paper, we develop structure assisted nonnegative matrix factorization (NMF) methods for blind source separation of degenerate data. The motivation originates from nuclear m…
A Semi-Blind Source Separation Method for Differential Optical Absorption Spectroscopy of Atmospheric Gas Mixtures
Y. Sun, L. M. Wingen, B. J. Finlayson-Pitts +1
Differential optical absorption spectroscopy (DOAS) is a powerful tool for detecting and quantifying trace gases in atmospheric chemistry \cite{Platt_Stutz08}. DOAS spectra consist…