Experimental design protocol for the pattern recognition analysis of bandpass filtered Fourier transform infrared interferograms

Software for Generating Synthetic Passive Fourier Transform Infrared Interferograms and Single-beam Spectra.

“…Groups of 50 consecutive interferograms were acquired and subsequently averaged for each specific blackbody radiance temperature. This or similar laboratory experimental configurations have been employed in several other studies [9,10,19,20].…”

“…The traditional limitations to the passive measurement have been the lack of a stable infrared background and the occurrence of weak spectral signatures for the analytes of interest. Recently, workers have demonstrated great promise in overcoming these limitations through the application of advanced signal processing and pattern recognition algorithms to raw FT-IR interferograms [8][9][10][11]. While powerful, these methods require specific information about the analytes of interest and robust signal processing schemes since each interferogram point contain components of all spectral frequencies.…”

“…(2), the B parameter can be multiplied by the product of step 7 (radiometrically corrected single-beam spectrum) to produce P. For the simulation experiments described in this report, the B parameter was assumed to be unity. 9. Interferograms can be obtained by computing the inverse Fast Fourier transform (FFT) of S or P.…”