Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/96038
Type: Artigo de evento
Title: Frequency Detection By Linear Prediction Using Total Least Squares Criterion
Author: Pinto Lemos Rodrigo
Lopes Amauri
Abstract: This work is concerned with the optimization of Forward-Backward Linear Prediction in Total Least Squares sense. This allowed us to propose a new frequency estimation method, named TLS-FBLP. It offers better performance and is less sensitive to prediction order changes than FBLP. Also, the proposed method is better than the Tufts and Kumaresan's Modified FBLP at low prediction orders, and similar at high orders. The best performances of both methods are quite close.
Editor: IEEE, Piscataway, NJ, United States
Rights: fechado
Identifier DOI: 
Address: http://www.scopus.com/inward/record.url?eid=2-s2.0-0029461770&partnerID=40&md5=088f73433cb0e47c48f20950563b96a3
Date Issue: 1995
Appears in Collections:Unicamp - Artigos e Outros Documentos

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