{"title":"Adaptive Realization Based on One Transmission and Reception of Simultaneous Subband Compound of Harmonics","authors":"Jie Zheng, N. Tagawa, M. Yoshizawa, T. Irie","doi":"10.1109/LAUS53676.2021.9639150","DOIUrl":null,"url":null,"abstract":"The use of harmonics facilitates high-resolution and low-artifact imaging. However, its power is weak, At present, low SNR characteristics have not yet been resolved. For the fundamental wave, we realized a significant improvement in range resolution by compounding the subbands extracted by filtering with adaptive weighting. In this method, since the subband components are freely extracted and their amplitudes are normalized and used, the method can also be applied to harmonics. In this paper, we proposed a method to adaptively use bands for each pixel by dividing the harmonic band into sub-bands and compounding them. As a result, it is possible to realize the weighted compound improves not only resolution but also SNR.","PeriodicalId":156639,"journal":{"name":"2021 IEEE UFFC Latin America Ultrasonics Symposium (LAUS)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE UFFC Latin America Ultrasonics Symposium (LAUS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/LAUS53676.2021.9639150","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
The use of harmonics facilitates high-resolution and low-artifact imaging. However, its power is weak, At present, low SNR characteristics have not yet been resolved. For the fundamental wave, we realized a significant improvement in range resolution by compounding the subbands extracted by filtering with adaptive weighting. In this method, since the subband components are freely extracted and their amplitudes are normalized and used, the method can also be applied to harmonics. In this paper, we proposed a method to adaptively use bands for each pixel by dividing the harmonic band into sub-bands and compounding them. As a result, it is possible to realize the weighted compound improves not only resolution but also SNR.