Optimal Detection and Classification of Diverse Short-duration Signals
DOI: 10.1109/IC2E.2014.96
关键词:
摘要: Recent theoretical advances in class-dependent feature extraction are reviewed. These advances, culminating the multi-resolution HMM (MR-HMM) statistical model proposed for detection and classification of transient signals that composed diverse components with widely varying structure resolution.
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