{"title":"快速二维离散小波变换的高效存储结构","authors":"X. Tian, Jiaolong Wei, J. Tian","doi":"10.1109/CISE.2010.5677178","DOIUrl":null,"url":null,"abstract":"Memory-efficient architecture for fast two- dimensional Discrete Wavelet Transform(DWT) with high speed and small size of on-chip memory is proposed. It is composed of one row-wise one-dimensional(1-D) DWT module and two identical column-wise 1-D DWT modules. The input data samples are directly processed by the row-wise 1-D DWT module. This architecture reduces the size of on-chip memory and output latency. In further, the time multiplexing technology makes the column-wise 1-D DWT module process different column data samples generated from the row-wise 1-D DWT module. The proposed architecture is finally compared with the state of art architectures in terms of computing time, output latency and size of on-chip memory. The comparison results demonstrate that the proposed architecture is a high-speed architecture with less consumption of on-chip memory and shorter output latency.","PeriodicalId":232832,"journal":{"name":"2010 International Conference on Computational Intelligence and Software Engineering","volume":"78 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Memory-Efficient Architecture for Fast Two-Dimensional Discrete Wavelet Transform\",\"authors\":\"X. Tian, Jiaolong Wei, J. Tian\",\"doi\":\"10.1109/CISE.2010.5677178\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Memory-efficient architecture for fast two- dimensional Discrete Wavelet Transform(DWT) with high speed and small size of on-chip memory is proposed. It is composed of one row-wise one-dimensional(1-D) DWT module and two identical column-wise 1-D DWT modules. The input data samples are directly processed by the row-wise 1-D DWT module. This architecture reduces the size of on-chip memory and output latency. In further, the time multiplexing technology makes the column-wise 1-D DWT module process different column data samples generated from the row-wise 1-D DWT module. The proposed architecture is finally compared with the state of art architectures in terms of computing time, output latency and size of on-chip memory. The comparison results demonstrate that the proposed architecture is a high-speed architecture with less consumption of on-chip memory and shorter output latency.\",\"PeriodicalId\":232832,\"journal\":{\"name\":\"2010 International Conference on Computational Intelligence and Software Engineering\",\"volume\":\"78 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-12-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 International Conference on Computational Intelligence and Software Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CISE.2010.5677178\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 International Conference on Computational Intelligence and Software Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CISE.2010.5677178","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Memory-Efficient Architecture for Fast Two-Dimensional Discrete Wavelet Transform
Memory-efficient architecture for fast two- dimensional Discrete Wavelet Transform(DWT) with high speed and small size of on-chip memory is proposed. It is composed of one row-wise one-dimensional(1-D) DWT module and two identical column-wise 1-D DWT modules. The input data samples are directly processed by the row-wise 1-D DWT module. This architecture reduces the size of on-chip memory and output latency. In further, the time multiplexing technology makes the column-wise 1-D DWT module process different column data samples generated from the row-wise 1-D DWT module. The proposed architecture is finally compared with the state of art architectures in terms of computing time, output latency and size of on-chip memory. The comparison results demonstrate that the proposed architecture is a high-speed architecture with less consumption of on-chip memory and shorter output latency.