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Jan Larsen

2 accepted papers

2019

Peak Detection and Baseline Correction Using a Convolutional Neural Network

ICASSP 2019accepted

Peak detection and localization in a noisy signal with an unknown baseline is a fundamental task in signal processing applications such as spectroscopy. A current trend in signal processing is to reformulate traditional processing pipelines as (deep) neural networks that can be trained end-to-end. A…

Cited by 0SourceScholar
2017

A pseudo-Voigt component model for high-resolution recovery of constituent spectra in Raman spectroscopy

ICASSP 2017accepted

Raman spectroscopy is a well-known analytical technique for identifying and analyzing chemical species. Since Raman scattering is a weak effect, surface-enhanced Raman spectroscopy (SERS) is often employed to amplify the signal. SERS signal surface mapping is a common method for detecting trace amou…

Cited by 0SourceScholar