Efficient Error Reduction Techniques by Hamming Code In Transmission Channel

Abstract

In the current information era, reliable digital communication is crucial, and this requires designing codes that can be reliably decoded over noisy transmission channels. Error-Correcting Codes (ECC) is essentially employed in a range of communication systems to detect and fix problems in a message that has been transferred, which is usually rather important. In particular, a number of decoding techniques for error reduction and correction remain difficult to implement in transmission channels. This study presents a novel approach to code generation that utilizes hamming codes for error reduction and error correction. Here, the error is checked using panty bits in hamming code (linear code), and the error position in a codeword is identified using a hamming code parity check matrix in syndrome coding. After error detection, next step is to use standard decoding with parity check matrix to reduce the error. Experimental research on alternative decoding algorithms generally indicates that these approaches improve the Hamming is the codes' ability to minimize errors above and beyond the bottom bound of essentially standard decoding that was previously established.