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In stochastic circuits, major sources of error are correlation errors, softerrors and random fluctuation errors that affect the accuracy and reliabilityof the circuit. The soft error has the effect of changing the correlationstatus and in turn changes the probability of numbers leading to the erroneousoutput. This has serious impact on security and medical systems where highlyaccurate systems are required. We tackle this problem by introducing thefault-tolerant technique of correlation-sensitive stochastic logic circuits. Wedevelop a framework of Remodelling Correlation(ReCo) for Stochastic LogicElements; AND, XOR and OR for reliable operation. We present two variants ofReCo models in combinational circuits with contradictory requirements bystating two interesting case studies. The proposed technique selects logicelements and places correction blocks based on a priority-based rule that helpsto converge to the desired MSE quickly requiring less hardware area. It isshown that this technique does not alter the reliability of the overallcircuit. To demonstrate the practical effectiveness of the proposed framework,contrast stretch operation on a standard image in a noisy environment isstudied. A high structural similarity index measure of 92.80 is observed forthe output image with the proposed approach compared to the image (with error)66.43.

ReCo1: A Fault resilient technique of Correlation Sensitive Stochastic Designs