SIGNAL AVERAGING OF HIGH RESOLUTION INFRARED SPECTRA
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Publisher:Ohio State University
High frequency noise in spectra may be reduced electronically, eg. by using lock-in amplifiers and RC filtering, and digitally, using integrated samples and digital smoothing. However, if performed properly so as not to distort spectral lines, none of these methods is effective on low frequency noise such as is present in noise features of widths comparable to spectral lines. Slow scanning can help provided it is used with the appropriate longer RC and digital sampling intervals. However, we believe that the best procedures is to signal average digitally, because signal averaging of repeated scans is effective in reducing noise in all frequency ranges. Thus, signal averaging can suppress noise features of widths comparable to spectral lines, which as far as we are aware cannot safely be attenuated by any other method. The reduction of such noise is especially important when deconvolution is to be used to enhance resolution. We do our signal averaging on the PDP-12 mini-computer used with our infrared spectrometer.
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