Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
612-822-4611

  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Data Compression and Compressed Sensing in Imaging Mass Spectrometry and Sporadic Communication

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

Bartels, Andreas

Paperback

General ComputersGeneral Mathematics

Currently unavailable to order

ISBN10: 383253850X
ISBN13: 9783832538507
Publisher: Logos Verlag Berlin
Published: Nov 10 2014
Pages: 191
Weight: 0.60
Height: 0.48 Width: 5.76 Depth: 8.04
Language: English
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.

Also in

General Computers

View All