Ridge regression techniques for the optimization of piecewise linear discriminants: application to Fourier transform infrared remote sensing measurements

Signal processing and pattern recognition methods for the remote, airborne detection of radioisotopes by gamma-ray spectroscopy

“…In the work described here, the patterns in the active data class are generated synthetically from the modulation of a single laboratory-collected spectrum. [44][45][46][47][48] These spectra are then overlaid with backgrounds collected from a broad range of locations around the nation, in order to simulate any theoretical scenario the ASPECT program may encounter from high to low intensity sources. This collection of synthetic active spectra is supplemented by a second set of inactive spectra drawn from a separate pool of backgrounds collected from multiple vetted locations.…”

“…Once computed, the classification model is applicable to other sets of data processed in the same fashion, assuming the target analyte remains the same. [44][45][46][47][48] The specifics of the implementation of PLDA for the thesis work will be described section 3.4.…”