Methods for Stable Statistical Signal Processing : Principles and Application to Nonstationary Signal Estimation

Abstract

We introduce e reduced-detail paradigm for nonstationary statistical signal processing with enhanced performance. Time-frequency localized subspace signal components (called robustons) are used as atomic entities for statistical signal modeling and processing. Robuston signal processing employs special time-varying filters that allow an efficient on-line… (More)

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