Abstract
In this paper adaptive predictors structured in cascade form are used to analyse superimposed exponential signals with time-varying parameters. On-line optimisation of the filters parameters is achieved using gradient descent techniques focused on the direct estimation of instantaneous information-bearing parameters (damping and frequency). Examples of the performance of the algorithm are given for real-valued multi-component synthetic signals with different schemes of frequency modulation in clean and noisy environments. The performance of the algorithm is also evaluated in the task of tracking the formants of a voiced segment of speech. (C) 2001 Elsevier Science BY. All rights reserved.
Original language | English |
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Pages (from-to) | 2223-2233 |
Number of pages | 11 |
Journal | Signal Processing |
Volume | 81 |
Issue number | 10 |
DOIs | |
Publication status | Published - Oct 2001 |