Design of a Data Error Correction System Based on Associative Memory

Dr. Azad Raheem Kareem, Seerwan Waleed Jirjees, Saja Alaam Talib


Digital data in a network must be transferred from one node to another with perfect accuracy. That means the number of ones and they arrangements in the data received must be equal to the data transmitted. For many applications such case is not always achieved and some corrupted in messages are occurred. There are many mechanisms to detect and correct the errors, and the goal of perfect accuracy in a simple design is not achieved yet. A new method is suggested to guarantee 100% accuracy in correct one more bits of the erring messages. The new strategy uses bidirectional associative memory (BAM) to solve the problem, but the structure of BAM itself suffers from an internal error with the read of the data, so a new design is proposed for the BAM to be suitable for the system. The obtained results from the test examples proved that the proposed method can reach the goal with simple design for the system.


Error correction; data transmission; artificial neural network; BAM.

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