A Graphical Method for Studying Spectra Containing Harmonics and Other Patterns
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.
Click to purchase paper as a non-member or login as an AES member. If your company or school subscribes to the E-Library then switch to the institutional version. If you are not an AES member and would like to subscribe to the E-Library then Join the AES!
This paper costs $33 for non-members and is temporarily free for AES members.