UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 5 Issue 5
May-2018
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR1805863


Registration ID:
182957

Page Number

741-743

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Title

Analysis of Run-Length Data Compression Algorithm

Abstract

Compression is a process of coding for reducing the total number of bits that are used to represent certain information. The main emphasis of compression is to transmit only minimum information that are mainly required for reconstruction. In this work, Run length coding algorithm is demonstrated by taking different data inputs.

Key Words

Analysis of Run-Length Data Compression Algorithm

Cite This Article

"Analysis of Run-Length Data Compression Algorithm ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 5, page no.741-743, MAY-2018, Available :http://www.jetir.org/papers/JETIR1805863.pdf

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2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Analysis of Run-Length Data Compression Algorithm ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 5, page no. pp741-743, MAY-2018, Available at : http://www.jetir.org/papers/JETIR1805863.pdf

Publication Details

Published Paper ID: JETIR1805863
Registration ID: 182957
Published In: Volume 5 | Issue 5 | Year May-2018
DOI (Digital Object Identifier):
Page No: 741-743
Country: --, --, -- .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication
Published Paper URL :: https://www.jetir.org/view?paper=JETIR1805863
Published Paper PDF: https://www.jetir.org/papers/JETIR1805863

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