{"ID":326610,"CreatedAt":"2026-03-04T20:58:37Z","UpdatedAt":"2026-03-04T20:58:37Z","DeletedAt":null,"paper_url":"https://paperswithcode.com/paper/technical-report-a-new-decision-theory-based","arxiv_id":"1711.11454","title":"Technical Report: A New Decision-Theory-Based Framework for Echo Canceler Control","abstract":"A control logic has a central role in many echo cancellation systems for\noptimizing the performance of adaptive filters while estimating the echo path.\nFor reliable control, accurate double-talk (DT) and channel change (CC)\ndetectors are usually incorporated to the echo canceler. This work expands the\nusual detection strategy to define a classification problem characterizing four\npossible states of the echo canceler operation. The new formulation allow the\nuse of decision theory to continuously control the transitions among the\ndifferent modes of operation. The classification rule reduces to a low cost\nstatistics for which it is possible to determine the probability of error under\nall hypotheses, allowing the classification performance to be accessed\nanalytically. Monte Carlo simulations using synthetic and real data illustrate\nthe reliability of the proposed method.","url_abs":"http://arxiv.org/abs/1711.11454v1","url_pdf":"http://arxiv.org/pdf/1711.11454v1.pdf","authors":"[]","published":"2017-11-29T00:00:00Z","tasks":"[\"Classification\"]","methods":"[]","has_code":false}