Optimal Detection and Classification of Diverse Short-duration Signals

Abstract

Recent theoretical advances in class-dependent feature extraction are reviewed. These advances, culminating in the multi-resolution HMM (MR-HMM) statistical model are proposed for the detection and classification of transient signals that are composed of diverse components with widely varying structure and resolution.