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Low Complexity Improved Efficiency of Encoded Data Using Peres Gate in BWAR with Testable Feature

机译:使用珀斯门在BWAR中具有可测试功能的佩雷门的编码数据的低复杂性和提高效率

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In this present era of high speed developing world of VLSI, data comparison is broadly used in computing system. In a computation system the receiving data needed to compare with deposited information to trace the identical entry. Comparison of data is a technique which fetches data together from various sources and compares it. When this matching differ the stored data, the use of proprietary matching algorithms is used to compare and correct the mismatch result. As per the survey, different researches have been done and still going on till date. In this study, it is found that the data matching can be done both in encoder and decoder end. The kept data preserved through error correcting codes (ECC code word) is used to relate with arriving data after decryption. Furthermore, in a Renovated butterfly weighted accumulator (BWAR), a type of reversible logic gate called peres gate is proposed to modify the half adder with disparate algorithm to compute hamming distance with reduced complexity and improved efficiency with testable feature. For a ECC code (16, 11) the proposed BWAR architecture minimizes the hardware complexity by 30.4% approximately with 13% of improved efficiency. In this brief, we have used a Xilinx 13.2 for Verilog coding for data matching algorithm.
机译:在本发明的VLSI高速发展世界时代,数据比较广泛用于计算系统。在计算系统中,接收数据需要与存放信息进行比较以跟踪相同的条目。数据的比较是一种从各种来源获取数据并进行比较的技术。当此匹配差异不同存储数据时,使用专有匹配算法用于比较和校正不匹配结果。根据调查,已经完成了不同的研究,仍然达到目前。在本研究中,发现数据匹配可以在编码器和解码器结束中完成。通过纠错码保存的保存数据(ECC码字)用于在解密后与到达数据相关。此外,在翻新的蝴蝶加权蓄能器(BWAR)中,提出了一种称为珀斯门的可逆逻辑门,以将具有不同算法的半加法器修改以计算汉明距离,以降低的复杂性和具有可测试特征的提高效率。对于ECC码(16,11),所提出的BWAR架构将硬件复杂性最小化30.4%,大约效率提高了13%。在此简介中,我们使用了用于数据匹配算法的Verilog编码的Xilinx 13.2。

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