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Linear phase correction models for synchronization: parameter identification and estimation of parameters.

Hans-Henning Schulze·Dirk Vorberg
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Abstract

Linear phase correction models for synchronized tapping and their stochastic properties are presented. In the most general form they include a central timer, a motor execution, and a phase correction mechanism that acts on the physical or the perceived asynchrony. A central issue of the article is how to identify and estimate the model parameters from the data. Monte Carlo simulations show serious problems of parameter interdependency.

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Hans-Henning Schulze, Dirk Vorberg. 2002. Linear phase correction models for synchronization: parameter identification and estimation of parameters.. https://doi.org/10.1006/brcg.2001.1305

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