Properties of the structured auto-regressive time-frequency distribution
نویسنده
چکیده
Primarily the structured auto-regressive (AR) model was introduced as a mean to estimate the parameters of non-stationary signals in additive noise. However, it is straightforward to use the structured AR model as a model-based time-frequency distribution (TFD). It is shown that the structured AR TFD can be interpreted as a member of Cohen's class with a non-stationary adaptive kernel. The interpretation of the structured AR TFD as a member of Cohen's class establishes a link between TFD:s and signal parameter estimation.
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