{"title":"VLSI algorithms for compressed pattern search using tree based codes","authors":"A. Mukherjee, T. Acharya","doi":"10.1109/ASAP.1995.522915","DOIUrl":null,"url":null,"abstract":"Data compression methods are used to reduce the redundancy in data representation in order to decrease the data storage requirements and communication costs. In order to exploit the benefits of data compression to conserve internal processor storage and computation resources, it is desirable to perform operations on compressed data without decompressing it. We present hardware algorithms and VLSI implementation of a chip to search a compressed text with respect to keys or patterns in compressed form using Huffman-type tree-based codes.","PeriodicalId":354358,"journal":{"name":"Proceedings The International Conference on Application Specific Array Processors","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1995-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings The International Conference on Application Specific Array Processors","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ASAP.1995.522915","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
Data compression methods are used to reduce the redundancy in data representation in order to decrease the data storage requirements and communication costs. In order to exploit the benefits of data compression to conserve internal processor storage and computation resources, it is desirable to perform operations on compressed data without decompressing it. We present hardware algorithms and VLSI implementation of a chip to search a compressed text with respect to keys or patterns in compressed form using Huffman-type tree-based codes.