Technical Program

Paper Detail

Paper:SPTM-P9.3
Session:Nonlinear Systems and Signal Processing
Time:Thursday, May 20, 13:00 - 15:00
Presentation: Poster
Topic: Signal Processing Theory and Methods: Nonlinear Systems and Signal Processing
Title: MODELING RESONANCES WITH PHASE MODULATED SELF-SIMILAR PROCESSES
Authors: Alexandros G. Dimakis; University of California, Berkeley 
 Petros Maragos; National Technical University of Athens 
Abstract: In this paper we propose a nonlinear model for time-varying random resonances where the instantaneous phase (and frequency)of a sinusoidal oscillation is allowed tovary proportionally to a random process that belongs to the class of $\alpha$-stable self-similar stochastic processes. This is a general model that includes phase modulations by fractional Brownian motion or fractional stable Levy motion as special cases. We explore theoretically this random modulation model and derive analytically its autocorrelation and power spectrum. We also propose an algorithm to fit this model to arbitrary resonances with random phase modulation. Further, we apply the above ideas to some speech data and demonstrate that the model is suitable for fricative sounds.
 
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