ENGLISH

Data Compression and Compressed Sensing in Imaging Mass Spectrometry and Sporadic Communication

By Andreas Bärtels

Book information

Publisher
Logos Verlag Berlin
Year
2014
ISBN
9783832591663, 9783832538507
LCC
QD96.M3 .B378 2014
Language
english
Format
PDF
Filesize
7 MB (7040986 bytes)
Edition
1
Pages
192\192
Time added
2023-08-21 23:45:33
Mass spectrometry.

Description

This thesis contributes to the fields of data compression and compressed sensing and their application to imaging mass spectrometry and sporadic communication. Compressed sensing is mainly built on the knowledge that most data is compressible or sparse, meaning that most of its content is redundant and not worth being measured. As a main result in this work, a compressed sensing model for imaging mass spectrometry is introduced. It combines peak-picking of the spectra and denoising of the m/z-images A robustness result for the reconstruction of compressed measured data is presented which generalizes known reconstruction guarantees.

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