Parametric Modeling of Non-Stationary Signals
It addresses the challenge of modeling non-stationary signals for signal processing applications, but the approach appears incremental without quantitative comparisons to existing methods.
The paper presents parametric models for non-stationary signals based on characteristic features and methods for accurate parameter estimation, demonstrating fitting on transient system response, speech phonemes, and ECG signals.
Parametric modeling of non-stationary signals is addressed in this article. We present several models based on the characteristic features of the modeled signal, together with the methods for accurate estimation of model parameters. Non-stationary signals, viz. transient system response, speech phonemes, and electrocardiograph signal are fitted by these feature-based models.