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Memory error compensation techniques for JPEG2000

机译:JPEG2000的内存错误补偿技术

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This paper presents novel algorithm-specific techniques to mitigate the effects of failures in SRAM memory caused by voltage scaling and random dopant fluctuations in scaled technologies. We focus on JPEG2000 as a case study. We propose three techniques that exploit the fact that the high frequency subband outputs of the discrete wavelet transform (DWT) have small dynamic range and so errors in the most significant bits can be identified and corrected easily. These schemes do not require any additional memory and have low circuit overhead. We also study several error control coding schemes that are effective in combating errors when the memory failure rates are low. We compare the PSNR versus compression rate performance of the proposed schemes for different memory failure rates. Simulation results show that for high bit error rates (10−2), the error control coding techniques are not effective and that the algorithm-specific techniques can improve the PSNR quality of up to 10dB higher compared to that of the no-correction case.
机译:本文提出了特定于算法的新颖技术,以减轻由缩放技术中的电压缩放和随机掺杂物波动引起的SRAM存储器故障的影响。我们以JPEG2000为例进行研究。我们提出了三种技术,利用了离散小波变换(DWT)的高频子带输出具有较小的动态范围的事实,因此可以轻松识别和纠正最高有效位中的错误。这些方案不需要任何额外的存储器,并且电路开销较低。我们还研究了几种错误控制编码方案,这些方案可在内存故障率较低时有效地消除错误。我们比较了针对不同内存故障率的拟议方案的PSNR与压缩率性能。仿真结果表明,对于高误码率(10 −2 ),差错控制编码技术无效,并且与算法相比,特定于算法的技术可以将PSNR质量提高高达10dB。没有纠正的情况。

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