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Design of low cost fault tolerant analog circuits using real-time learned error compensation

机译:利用实时学习误差补偿设计低成本容错模拟电路

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Analog checksum based fault tolerance for linear circuits has been proposed in the past but remains a theoretical artifact due to the high cost and complexity of error compensation while other redundancy based methods have prohibitive overheads. To resolve this, new low cost error compensation methods for widely used linear analog circuits are developed in this research. Trial and error based compensation learning methods combined with the use of less than minimum distance codes are used for failure tolerance. This results in significant hardware savings over prior correction schemes with minimal increase in error correction latency. It is shown how dual failures in analog circuits, not possible with existing techniques, can be compensated using the proposed fault-learning approach.
机译:过去已经提出了基于模拟校验和的线性电路容错能力,但是由于高昂的成本和错误补偿的复杂性而仍然是一种理论上的假象,而其他基于冗余的方法则具有过高的开销。为了解决这个问题,本研究开发了用于广泛使用的线性模拟电路的新的低成本误差补偿方法。基于试验和错误的补偿学习方法,结合使用小于最小距离的代码,可用于容错。与先前的校正方案相比,这导致了显着的硬件节省,并且纠错延迟的增加最小。它显示了如何使用建议的故障学习方法来补偿现有技术无法解决的模拟电路中的双重故障。

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