A Study on Error Coding Techniques

Abstract

There are numerous error coding techniques in the field of digital communication. They are utilized to detect/correct single bit or multiple bit errors. In this paper commonly used codes like Hamming codes, CRC and ReedMuller codes are compared based on encoding and decoding methods. The designs are also compared based on the implementation in Xilinx Spartan FPGA device. Hamming codes are relatively easy to implement and the throughput of this code is high. Hamming codes are single error correcting and double error detecting (SECDED) codes. Applications include in fields like DRAM memory chips, satellite communications.

Authors and Affiliations

Deepika S S, Ashwin Kumar, Gurusiddayya H

Keywords

Related Articles

Improving Existing Data Security Standards in Cloud Computing Using Trust Based Machine Learning

The onset of the Big Data phenomenon, has brought to light the need to store and process data externally for effective and efficient computation. Cloud computing is a technology that has enabled individual users and org...

Design of 12-Bit DAC Using CMOS Technology

Digital-to-Analog Converter (DAC) is used to convert a digital form of input into an analog form of output. In this paper, a digital-to-analog converter which is based on the R-2R ladder is analyzed for low power consum...

FPGA Implementation of Adaptive Weight Calculation Using QRD - RLS Algorithm

Adaptive weight calculation (AWC) is required in many communication applications including adaptive beamforming, equalization, predistortion and multiple-input multiple-output (MIMO) systems. These applications involve...

Power Quality Perfection in A Nonlinear Loaded Electrical System by Use of a Three Phase Active Power Filter

Consumer electronics, home appliances and a great assortment of developed applications, namely power electronics based, can cause high disorder in the abounding electricity. In this paper, the power quality distinctiven...

Power Generation with QUASI-Z-Source Inverter Using ANFIS Based MPPT

The paper proposes an new technique for photovoltaic power generation with quasi Z-source inverter (qZSI) using an artificial-intelligence based solution for delivering maximum power .Adaptive neuro-fuzzy interface syst...

Download PDF file
  • EP ID EP22222
  • DOI -
  • Views 178
  • Downloads 4

How To Cite

Deepika S S, Ashwin Kumar, Gurusiddayya H (2016). A Study on Error Coding Techniques. International Journal for Research in Applied Science and Engineering Technology (IJRASET), 4(5), -. https://europub.co.uk/articles/-A-22222