Abstract
A NOVEL APPROACH FOR ERROR CORRECTION USING SELECTIVE ENCODING WITH MODIFIED LOW DENSITY PARITY CHECK CODES OVER GALOIS FIELD GF (2M)
Prof. Srividya B.V* and Dr. Akhila S.
ABSTRACT
During transmission of data over a noisy channel, the data gets corrupted due to noise. This erroneous data can be corrected using Forward Error Correcting Codes without a request for re-transmission of data. Forward Error correcting codes detect and correct errors with the help of complex decoders. In this paper a new approach called Selective Encoding for Error Recovery is proposed. This algorithm combines the Bezier curves over Galois Field GF (p^m) and the Low Density Parity Check Codes for performing encoding and decoding. He proposed decoder is capable of detecting and correcting errors in an image, where only selected pixel values are encoded and decoded. This reduces the decoding time significantly. Further, when binary representation of the Galois Field is used, the speed of the decoder is enhanced as there is no carry generation and carry propagation when any modular arithmetic operation is carried out.
[Full Text Article] [Download Certificate]