A technique for identifying and characterizing patterns in spectra is described. Motion signatures are a key component of the technique; motion enhances visual recognition of systematic effects. Multiple harmonic series, odd and even harmonics, missing modes and sidebands produce identifiable signatures. The technique works well with more complicated, inharmonic spectral patterns, and reveals systematic behavior in data over larger ranges in frequency than when the spectra are presented in serial form.
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