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Reseach Article

Presenting Channel Estimation Method to Reduce Errors on Encrypted Images based on the Comparative Methods in OFDM Systems

by Babak Ehyaee, Navid Daryasafar
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 49 - Number 14
Year of Publication: 2012
Authors: Babak Ehyaee, Navid Daryasafar
10.5120/7699-1035

Babak Ehyaee, Navid Daryasafar . Presenting Channel Estimation Method to Reduce Errors on Encrypted Images based on the Comparative Methods in OFDM Systems. International Journal of Computer Applications. 49, 14 ( July 2012), 50-53. DOI=10.5120/7699-1035

@article{ 10.5120/7699-1035,
author = { Babak Ehyaee, Navid Daryasafar },
title = { Presenting Channel Estimation Method to Reduce Errors on Encrypted Images based on the Comparative Methods in OFDM Systems },
journal = { International Journal of Computer Applications },
issue_date = { July 2012 },
volume = { 49 },
number = { 14 },
month = { July },
year = { 2012 },
issn = { 0975-8887 },
pages = { 50-53 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume49/number14/7699-1035/ },
doi = { 10.5120/7699-1035 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:46:18.229832+05:30
%A Babak Ehyaee
%A Navid Daryasafar
%T Presenting Channel Estimation Method to Reduce Errors on Encrypted Images based on the Comparative Methods in OFDM Systems
%J International Journal of Computer Applications
%@ 0975-8887
%V 49
%N 14
%P 50-53
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The AES encryption algorithm is a modern pattern having the characteristics such as high speed and simplicity of software implementation. Despite having all the advantages brought by the encrypted data, they are more sensitive to noise than the normal data. Perhaps, one of the reasons for this to happen is the existence of consecutive cycles during the decrypting operation. Using the error correction coding may be suggested as one suggestion; however, using this method significantly increases the volume of data. In this article, we multiply the received symbols by the adjustment coefficients. In order to find adjustment coefficient we need to estimate the channel. The smallest mean squares algorithm is an appropriate way for estimating the channel. The computer simulation results are good indicators of the superiority of this method to OFDM technique and the other modulations.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Encryption AES algorithm LMS algorithm Channel estimation