02044nam 2200433 450 991082558740332120230803211826.03-8325-9166-4(CKB)4910000000017338(MiAaPQ)EBC5850430(Au-PeEL)EBL5850430(OCoLC)11124218775a8e86f0-f280-4946-8cec-66c5b0dd2d03(EXLCZ)99491000000001733820190917d2014 uy 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierData compression and compressed sensing in imaging mass spectrometry and sporadic communication /Andreas BartelsBerlin :Logos Verlag,[2014]©20141 online resource (192 pages) illustrationsPublicationDate: 201411103-8325-3850-X Includes bibliographical references.Long 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.Mass spectrometryMass spectrometry.543.0873Bartels Andreas(Writer on mass spectrometry),1240446MiAaPQMiAaPQMiAaPQBOOK9910825587403321Data compression and compressed sensing in imaging mass spectrometry and sporadic communication4051503UNINA