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The acquisition and processing of spectra were performed using the software TopSpin 2.1 (Bruker Biospin).
The acquisition procedure was driven by a self-made computer software employing a simple graphic interface which helps in both the choice of acquisition parameters and the processing of spectra.
Acquisition and processing of spectra were performed as previously described (Beloueche-Babari et al, 2012).
For proper processing of spectra and database searching conditions, ProteinLynxGlobalServer v.2.5.2 (PLGS) with IdentityE and ExpressionE informatics v.2.5.2 (Waters) were used.
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In this paper, we focus on increasing the spectrum awareness of cognitive radio users through statistical processing of spectrum sensing data, obtained via wideband energy-detection-based sensing techniques.
Partial least squares regression was combined with suitable pre- and post-processing of spectra and concentration responses.
Pre-processing of spectra reduced the prediction error for collagen by 0.03 0.12%, depending on method used; the lowest prediction error obtained being 0.48%.
A software package of application programs was written with Matlab which handles auto-processing of spectra data and reconstruction of ESRI spatial imaging by the filtered back-projection method.
Post-processing of spectra included 0.3 Hz exponential line broadening and baseline correction using a fifth-order function.
Pre-processing of spectra was performed in Grams/32 (Thermo Scientific, Waltham, USA) with further processing and validation by principal component analysis (PCA) performed in Matlab version R2013b.
The database provides support for the design of a digestion method, the data processing of mass spectra and the peptide matching process of the identified masses.
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