In the official blurb, published in the College of Engineering handbook, I stress the system identification aspects of my work, and I ramble on about how we can hope to make a better world by understanding our machines and ourselves. I sure hope that I'm right about this. For others, I stress the applications to signal processing and use words like "stability of algorithms," "convergence analysis," and "equalization." For others, I talk about the musical motivations lying behind my work and call it acoustical signal processing or perception based audio, where I have been investigating the relationships between the timbre (or spectrum) of a sound and the tunings (or musical scales) in which the sound will appear most consonant to the ear. This has culminated in Tuning Timbre Spectrum Scale, published by Springer-Verlag (the second edition is now out!).
More recently, I have been investigating methods of detecting periodicities in data records, and attempting to automatically detect rhythmic structures in musical performances, as well as in other more prosaic signals such as heartbeats. Read more on Last.fm. User-contributed text is available under the Creative Commons By-SA License; additional terms may apply..
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