An Efficiency Study on Fault Tolerent Fir Filters

Augusta Angel M

An Efficiency Study on Fault Tolerent Fir Filters

Augusta Angel M * §

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An Efficiency Study on Fault Tolerent Fir Filters

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Abstract

In this Digital World, Digital filters are the boom for modern digital communications in which Fir filters play a vital role. But the reliability of these filters is still a paradox. Nowadays electronic devices with multiple numbers of filters are used in various fields. Hence the performance and reliability of the filters must be improved. A number of techniques have been introduced to detect and correct errors that occur in those filter circuits. In this paper, the use of hamming code error correction technique on 4 tap fir filters are studied in order to obtain optimized and efficient reliability.

References

8 Cites in Article

Reference Format

P Sneha,S Jamuna (2015). FPGA Implementation of Reduced Precision Redundancy Protected Parallel Fir Filters.
Fabio Daitx,Vagner Rosa,Eduardo Costa,Paulo Flores,Sergio Bampi (2008). VHDL generation of optimized FIR filters.
Zhen Gao,Pedro Reviriego,Wen Pan,Zhan Xu,Ming Zhao,Jing Wang,Juan Maestro (2014). Fault Tolerant Parallel Filters Based on Error Correction Codes.
A Oppenheim,R Schafer (1999). R. Leb. Hooke 1998. Principles of glacier mechanics. Upper Saddle River, NJ, Prentice Hall, vii + 248 pp. ISBN 0-13243-312-5, Hardback. £28.95..
S Lin,D Costello (2004). Error Control Coding.
R Hamming (1950). Error Detecting and Error Correcting Codes.
P Reviriego,S Pontarelli,C Bleakley,J Maestro (2012). Area efficient concurrent error detection and correction for parallel filters.
L Bodnar,G Chapelle (2003). A single error correction double burst error detection code.

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Augusta Angel M. 2017. "An Efficiency Study on Fault Tolerent Fir Filters". Global Journal of Computer Science and Technology - E: Network, Web & Security GJCST-E Volume 17 (GJCST Volume 17 Issue E4).

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GJCST Volume 17 Issue E4

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

Not Found

Classification

I.4.3

Submission ReceivedDecember 16, 2016
Peer Review Double Blind
Handling Editor
Accepted January 4, 2017
Published January 15, 2017

Version of record

v1.2

Issue date

September 27, 2017

Language

English

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Article Matrices

Total Score: 142

Country: India

Subject: Global Journal of Computer Science and Technology

Authors: Augusta Angel M, Julie Antony Roselin J (PhD/Dr. count: 0)

View Count (all-time): 384

Total Views (Real + Logic): 2852

Total Downloads (simulated): 225

Publish Date: 2017 01, Sun

Monthly Totals (Real + Logic):

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Total Views: 2.9K

Total Downloads: 225

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