{"title":"Monte Carlo smoothing with application to audio signal enhancement","authors":"W. Fong, S. Godsill, A. Doucet, M. West","doi":"10.1109/SSP.2001.955211","DOIUrl":null,"url":null,"abstract":"We describe methods for applying Monte Carlo filtering and smoothing for estimation of unobserved states in a nonlinear state space model. By exploiting the statistical structure of the model, we develop a Rao-Blackwellised particle smoother. The suggested algorithm is tested with real speech and audio data and the results are shown and compared with those generated using the generic particle smoother and the extended Kalman filter. It is found that the suggested algorithm gives better results.","PeriodicalId":70952,"journal":{"name":"信号处理","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2001-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"153","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"信号处理","FirstCategoryId":"1093","ListUrlMain":"https://doi.org/10.1109/SSP.2001.955211","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 153
Abstract
We describe methods for applying Monte Carlo filtering and smoothing for estimation of unobserved states in a nonlinear state space model. By exploiting the statistical structure of the model, we develop a Rao-Blackwellised particle smoother. The suggested algorithm is tested with real speech and audio data and the results are shown and compared with those generated using the generic particle smoother and the extended Kalman filter. It is found that the suggested algorithm gives better results.
期刊介绍：
Journal of Signal Processing is an academic journal supervised by China Association for Science and Technology and sponsored by China Institute of Electronics. The journal is an academic journal that reflects the latest research results and technological progress in the field of signal processing and related disciplines. It covers academic papers and review articles on new theories, new ideas, and new technologies in the field of signal processing. The journal aims to provide a platform for academic exchanges for scientific researchers and engineering and technical personnel engaged in basic research and applied research in signal processing, thereby promoting the development of information science and technology. At present, the journal has been included in the three major domestic core journal databases "China Science Citation Database (CSCD), China Science and Technology Core Journals (CSTPCD), Chinese Core Journals Overview" and Coaj. It is also included in many foreign databases such as Scopus, CSA, EBSCO host, INSPEC, JST, etc.
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