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  1. Journal of Applied Sciences
  2. Vol 12 (4), 2012
  3. 301-314
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Journal of Applied Sciences

Year: 2012 | Volume: 12 | Issue: 4 | Page No.: 301-314
DOI: 10.3923/jas.2012.301.314

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Authors


Padmapriya Praveenkumar


Rengarajan Amirtharajan


K. Thenmozhi


John Bosco Balaguru Rayappan


Keywords


  • ECC
  • OFDM
  • artificial neural networks
  • reed-Solomon codes
  • convolutional encoding
  • turbo codes
Review Article

Regulated OFDM-Role of ECC and ANN: A Review

Padmapriya Praveenkumar, Rengarajan Amirtharajan, K. Thenmozhi and John Bosco Balaguru Rayappan
Orthogonal Frequency Division Multiplexing (OFDM) has come to the rescue of the bandwidth constraint owing to the burgeoning digital multimedia applications. The serial data is made parallel and transmitted over multiple orthogonal frequencies with bandwidth of each subcarrier considerably lesser than the coherence bandwidth of the channel. This study aims to review the present state of art in Error Correcting Codes (ECC) in OFDM, generated by methods like Convolutional Encoding, using Reed-Solomon Codes and Turbo codes. Furthermore the deployment of Artificial Neural Networks (ANN), to train the system for higher fault tolerance in OFDM is detailed.
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How to cite this article

Padmapriya Praveenkumar, Rengarajan Amirtharajan, K. Thenmozhi and John Bosco Balaguru Rayappan, 2012. Regulated OFDM-Role of ECC and ANN: A Review. Journal of Applied Sciences, 12: 301-314.

DOI: 10.3923/jas.2012.301.314

URL: https://scialert.net/abstract/?doi=jas.2012.301.314

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