Technical Program

Paper Detail

Session:System Identification and Parameter Estimation
Time:Tuesday, May 18, 13:00 - 15:00
Presentation: Poster
Topic: Signal Processing Theory and Methods: Adaptive Systems & Filtering
Authors: Hoi Wong; University of Wisconsin-Madison 
 William Sethares; University of Wisconsin-Madison 
Abstract: Many phenomena exhibit cyclical patterns without being periodic.This can be modeled using ''pseudo-periodic'' functions which enable cyclical patterns to be decomposed into a periodic signal along with a set of parameters that define the deviations of the pattern from true periodicity. This paper describes algorithms that estimate the parameters and the template function using the $\p$-norm cost function. Implementation issues such as varying amplitude between pseudo-periods and problems using finite data records are also discussed. Applications to sunspot data explore practical uses and limitations of the method.

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