L. Morales-Mendoza, Y. Shmaliy, E. Morales-Mendoza, Rafael Ortega-Almanza
{"title":"P-step unbiased FIR filter to the ultrasound image processing","authors":"L. Morales-Mendoza, Y. Shmaliy, E. Morales-Mendoza, Rafael Ortega-Almanza","doi":"10.1109/CONIELECOMP.2010.5440789","DOIUrl":null,"url":null,"abstract":"In this paper we present a new generation of unbiased FIR filter called as p-step unbiased FIR filter. These filters present a computational ability and flexibility to realize three different processes: prediction, filtering and smoothing. Moreover, the medical ultrasound is an interesting area to the applications of p-step unbiased FIR filter type. This is due to the ultrasound images are contaminating with Gaussian and speckle noise. Finally, we present some simulations to prove the new unbiased FIR filters and concluding remarks.","PeriodicalId":236039,"journal":{"name":"2010 20th International Conference on Electronics Communications and Computers (CONIELECOMP)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 20th International Conference on Electronics Communications and Computers (CONIELECOMP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CONIELECOMP.2010.5440789","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
In this paper we present a new generation of unbiased FIR filter called as p-step unbiased FIR filter. These filters present a computational ability and flexibility to realize three different processes: prediction, filtering and smoothing. Moreover, the medical ultrasound is an interesting area to the applications of p-step unbiased FIR filter type. This is due to the ultrasound images are contaminating with Gaussian and speckle noise. Finally, we present some simulations to prove the new unbiased FIR filters and concluding remarks.