Title
Vlsi Algorithms For Compressed Pattern Search Using Tree Based Codes
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. In this paper 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.
Publication Date
1-1-1995
Publication Title
Proceedings of the International Conference on Application Specific Array Processors
Number of Pages
133-136
Document Type
Article; Proceedings Paper
Personal Identifier
scopus
Copyright Status
Unknown
Socpus ID
0029218099 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/0029218099
STARS Citation
Mukherjee, Amar and Acharya, Tinku, "Vlsi Algorithms For Compressed Pattern Search Using Tree Based Codes" (1995). Scopus Export 1990s. 1915.
https://stars.library.ucf.edu/scopus1990/1915