{"title":"Hardware realization and optimized of lifting wavelet transform","authors":"Shang Lina, Gao Guang-chun, Z. Cui, Chen Cheng","doi":"10.1109/ICISE.2010.5691784","DOIUrl":null,"url":null,"abstract":"Lifting algorithm doesn't depend on the Fourier transform, reduces the computational complexity, and it's very suitable for hardware implementation. The hardware realization of lifting wavelet transform is introduced in the paper. It optimized the algorithm, and saved the Hardware resources more than 20% at the situation of speed priority and area priority, and also saved time.","PeriodicalId":206435,"journal":{"name":"The 2nd International Conference on Information Science and Engineering","volume":"22 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"The 2nd International Conference on Information Science and Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICISE.2010.5691784","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
Lifting algorithm doesn't depend on the Fourier transform, reduces the computational complexity, and it's very suitable for hardware implementation. The hardware realization of lifting wavelet transform is introduced in the paper. It optimized the algorithm, and saved the Hardware resources more than 20% at the situation of speed priority and area priority, and also saved time.
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