M. S. Armstrong

collaborators

2 papers

eess.SP2024

Unlocking new capabilities in the analysis of GC $\times$ GC-TOFMS data with shift-invariant multi-linearity

Paul-Albert Schneide, Michael Sorochan Armstrong, Neal Gallagher +1

This paper introduces a novel deconvolution algorithm, shift-invariant multi-linearity (SIML), which significantly enhances the analysis of data from a comprehensive two-dimensiona…

stat.AP2022

PARAFAC2 $\times$ N: Coupled Decomposition of Multi-modal Data with Drift in N Modes

Michael D. Sorochan Armstrong, Jesper Løve Hinrich, A. Paulina de la Mata +1

Reliable analysis of comprehensive two-dimensional gas chromatography - time-of-flight mass spectrometry (GC $\times$ GC-TOFMS) data is considered to be a major bottleneck for its wi…

Unlocking new capabilities in the analysis of GC×GC-TOFMS data with shift-invariant multi-linearity

PARAFAC2×N: Coupled Decomposition of Multi-modal Data with Drift in N Modes

Unlocking new capabilities in the analysis of GC $\times$ GC-TOFMS data with shift-invariant multi-linearity

PARAFAC2 $\times$ N: Coupled Decomposition of Multi-modal Data with Drift in N Modes