News Updates Saturday 21st Jul 2018 :
  • Welcome to INPRESSCO, world's leading publishers, We have served more than 10000+ authors
  • Articles are invited in engineering, science, technology, management, industrial engg, biotechnology etc.
  • Paper submission last date of July/Aug 2018 extended to 20 July 2018, Submit online or at editor.ijcet@inpressco.com
  • Our journals are indexed in NAAS, University of Regensburg Germany, Google Scholar, Cross Ref etc.
  • DOI is given to all articles

Design and Implementation of Huffman Decoder for Text data Compression


Author : Swapna R and Ramesh P.

Pages : 2032-2035
Download PDF
Abstract

Digital compression of data is important due to the bandwidth limitations inherent in the transmission medium. Data compression is also called as source coding. It is the process of encoding information using fewer bits than an uncoded representation. Compression is a technology for reducing the quantity of data used to represent any content without excessively reducing the quality of the picture. It also reduces the number of bits required to store and/or transmit digital media. Compression is a technique that makes storing easier for large amount of data. There are various techniques available for compression, this paper presents Huffman decoder based on new binary tree method for improving usage of memory and Bandwidth for Text data Compression. The work mainly deals with the implementation of Huffman decoder on a Xilinx 14.7 version, using Verilog Hardware Description Language.

Keywords: Binary tree, Data compression, Decoding algorithm Huffman decoder, Verilog, FPGA

Article published in International Journal of Current Engineering and Technology, Vol.5, No.3 (June-2015)

 

Call for Papers
  1. IJCET- July/Aug 2018 Issue

    Submission Last Date
    20 July
  2. DOI is given to all articles
  3. Current Issue
  4. IJTT-Sept-2018
  5. IJAIE-Sept-2018
  6. IJCSB-Sept-2018
  • Inpressco Google Scholar
  • Inpressco Science Central
  • Inpressco Global impact factor
  • Inpressco aap

International Press corporation is licensed under a Creative Commons Attribution-Non Commercial NoDerivs 3.0 Unported License
©2010-2018 INPRESSCO® All Rights Reserved