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IJSTR >> Volume 8 - Issue 8, August 2019 Edition

International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616

Computationally Simpler And Fast Convergence Algorithm For Neural Network Based Ldpc Encoder/ Decoder

[Full Text]



Rajasekar.B, Logashanmugam.E, Nandhitha. N.M



Back propagation, CODEC, computational complexity, LDPC, Perceptron.



Soft computing technique for computationally less complex encoder / decoder for LDPC is proposed. The novel learning technique is computationally less complex than Ordinary Gradient Learning (OGLN) and highly accurate than AGL. Performance of the proposed technique is compared with the conventional techniques in terms of maximum error, minimum error and computational complexity. In order to emulate a codec Artificial Neural Network based LDPC encoder/decoder is developed. The performance of the proposed LDPC codec is compared with that conventional codecs in terms of learning algorithm. The proposed learning algorithm has X-L multiplication in contrast to X2 and X multiplication of the conventional techniques.



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