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Pitch- and jitter/shimmer-based features are found to be highly ranked in the proposed EmoFt feature set, while in the larger ComParE set, spectral band descriptors and MFCCs show an even higher correlation.
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A synchronizing oscillator sets spectral purity while locked oscillators set quadrature accuracy and drive the mixer LO input capacitances.
All spectral data processing and image assembly was performed using the CytoSpec software package, which enables spectral processing and multivariate analysis to be carried out on an entire spectral imaging data set, or "spectral hypercube".
A method for designing a calibration set in spectral space was developed.
Conventional approaches create a feature set using spectral binning and then apply multivariate techniques to detect patterns among features across sample groups.
This data set contains spectral data collected in profile mode only, and includes the following modes of instrument operation: LTQ/LTQ, FT/FT, TOF/TOF and LTQ/FT.
PCA analysis was performed with four different data sets: spectral data from EDXRF, spectral data from gamma-ray spectrometry, concentration values from EDXRF measurements and concentration values from gamma-ray spectrometry.
To search for differences in the protein profile among data sets, spectral counts were normalized based on the total spectral counts, as previously suggested.
Instead, SRC and XDS calibration models were developed using the exact same calibration and validation sample sets, spectral pretreatments, and PLS modeling parameters as those previously described for the Thermo autosampler.
Here, we reanalyze this rich data set using the spectral count and spectral index approaches to extract relative quantitative data from the SCN peptide samples.
The three methods shared a total of 1,352 spectral identifications in the EC HCD data set and 607 spectral identifications in the EC ETD data set.
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CEO of Professional Science Editing for Scientists @ prosciediting.com