Blind Source Separation of MALDI spectra from noise by sparse representation in a composite of linear bases
- We apply a Blind Source Separation technique to differentiate between signal and noise on MALDI spectra.
- We look for efficient representations in a redundant composite of two transforms with different statistical properties, one adapted to represent the signal, the other the noise.
- Results show a clean separation between signal and noise with joint perfect reconstruction of the original signal
- Content Type:
- Paper
- Document Number:
- PO-CON1763E
- Product Type:
- Mass Spectrometry, MALDI-TOF mass spectrometer
- Keywords:
- Blind Source Separation, Iterative Shrinkage Methods, iterated algorithm, noise, TIC spectrum, mouse brain protein, Pharmaceutical, Life Science, Proteomics, MALDI-7090
- Language:
- English
- File Name:
- ego317088.pdf
- File Size:
- 362kb