Musical signals presents several aspects that are not detected by classical analysis methods, such as time frequency analysis techniques. For instance in signals produced by real instruments, the non linear dy- namics of the excitator may often result in some small or large degree o f turbulence during the evolution of the sound, or in the production of non periodic sound (such as mu1- tiphonics tones). W e investigate the possibility o f using analysis methods based on chaos theory both for studying significant properties of the signal and of the production mechanism.
Sound analysis methods based on chaos theory
De Poli, Giovanni
1993
Abstract
Musical signals presents several aspects that are not detected by classical analysis methods, such as time frequency analysis techniques. For instance in signals produced by real instruments, the non linear dy- namics of the excitator may often result in some small or large degree o f turbulence during the evolution of the sound, or in the production of non periodic sound (such as mu1- tiphonics tones). W e investigate the possibility o f using analysis methods based on chaos theory both for studying significant properties of the signal and of the production mechanism.File in questo prodotto:
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