{"title":"Harmonic envelope detection and amplitude estimation using map seeking circuits","authors":"B. Gregoire, Robert C. Maher","doi":"10.1109/EIT.2005.1626971","DOIUrl":null,"url":null,"abstract":"In this paper we introduce the use of map-seeking circuits for auditory pattern detection and classification. A map-seeking circuit is a signal processing structure used to detect a desired feature in a mixture by iteratively transforming, superposing, and comparing the composite mixture with a pattern template. The result is a mapping between the template and the position of the matched feature in the mixture. The iterative detection process is inspired by the neural connections in the human visual system. A particularly important feature of map-seeking classification is that the search operates on an additive superposition of allowable transformations of the desired feature vector, giving a linear increase in computation with increasing image complexity, rather than a brute-force feature detection that increases in computation geometrically","PeriodicalId":358002,"journal":{"name":"2005 IEEE International Conference on Electro Information Technology","volume":"49 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2005-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2005 IEEE International Conference on Electro Information Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EIT.2005.1626971","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
In this paper we introduce the use of map-seeking circuits for auditory pattern detection and classification. A map-seeking circuit is a signal processing structure used to detect a desired feature in a mixture by iteratively transforming, superposing, and comparing the composite mixture with a pattern template. The result is a mapping between the template and the position of the matched feature in the mixture. The iterative detection process is inspired by the neural connections in the human visual system. A particularly important feature of map-seeking classification is that the search operates on an additive superposition of allowable transformations of the desired feature vector, giving a linear increase in computation with increasing image complexity, rather than a brute-force feature detection that increases in computation geometrically