Biomed Signal Process Control 2017 Mar 16;33:392-399. Epub 2017 Jan 16.
Chemical and Paper Engineering, Western Michigan University, Kalamazoo, MI, USA.
The high dimensionality and noisy spectra of Mass Spectrometry (MS) data are two of the main challenges to achieving high accuracy recognition. The objective of this work is to produce an accurate prediction of class content by employing compressive sensing (CS). Not only can CS significantly reduce MS data dimensionality, but it will also allow for full reconstruction of original data. Read More