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Theoretical analysis of word-level switching activity in the presence of glitching and correlation

机译:在存在毛刺和相关性的情况下单词级切换活动的理论分析

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This paper presents a novel analytical approach to compute the switching activity in digital circuits at the word level in the presence of glitching and correlation. The proposed approach makes use of signal statistics such as mean, variance, and autocorrelation. It is shown that the switching activity /spl alpha//sub f/ at the output node f of any arbitrary circuit in the presence of glitching and correlation is computed as /spl alpha//sub f/=/spl Sigma//sub i=1//sup S-1//spl alpha/(f/sub i,i+1/)=/spl Sigma//sub i=1//sup S-/ /sup 1/p(f/sub i+1/)(1-p(f/sub i/))(1-/spl rho/(f/sub i,i+1/)) (1) where /spl rho/(f/sub i,i+1/)=/spl rho/(f/sub i,i+1/)=(E[f/sub i/(Sn)f/sub i+1/(Sn)]- p(f/sub i/)p(f/sub i+1/))/(/spl radic/(p(f/sub i/)-p(f/sub i/)/sup 2/)(p(f/sub i+1/)- p(f/sub i+1//sup 2/))) (2). S number of time slots in a cycle; /spl rho/(f/sub i/,+1) time-slot autocorrelation coefficient; E[x]=expected value of x; p/sub x/=probability of the signal x being "one". The switching activity analysis of a signal at the word level is computed by summing the activities of all the individual bits constituting the signal. It is also shown that if the correlation coefficient of the higher order bits of a normally distributed signal x is /spl rho/(x/sub c/), then the bit P/sub 0/ where the correlation begins and the correlation coefficient is related hy /spl rho/(x/sub c/)=erfc{(2(P/sub 0/-1)-1)/(/spl radic/2/spl sigma//sub x/)} where erfc(x)=complementary error function; /spl sigma//sub x/=variance of x. The proposed approach can estimate the switching activity in less than a second which is orders of magnitude faster than simulation-based approaches. Simulation results show that the errors using the proposed approach are about 6.1% on an average and that the approach is well suited even for highly correlated speech and music signals.
机译:本文提出了一种新颖的分析方法,可以在存在毛刺和相关性的情况下,在字级上计算数字电路中的开关活动。所提出的方法利用了信号统计,例如均值,方差和自相关。结果表明,在出现毛刺和相关的情况下,任意电路的输出节点f上的开关活动/ spl alpha // sub f /计算为/ spl alpha // sub f / = / spl Sigma // sub i = 1 // sup S-1 // spl alpha /(f / sub i,i + 1 /)= / spl Sigma // sub i = 1 // sup S- / / sup 1 / p(f / sub i +1 /)(1-p(f / sub i /))(1- / spl rho /(f / sub i,i + 1 /))(1)其中/ spl rho /(f / sub i,i +1 /)= / spl rho /(f / sub i,i + 1 /)=(E [f / sub i /(Sn)f / sub i + 1 /(Sn)]-p(f / sub i /)p(f / sub i + 1 /))/(/ spl radic /(p(f / sub i /)-p(f / sub i /)/ sup 2 /)(p(f / sub i + 1 /)-p(f / sub i + 1 // sup 2 /)))(2)。一个周期中的S个时隙; / spl rho /(f / sub i /,+ 1)时隙自相关系数; E [x] = x的期望值; p / sub x / =信号x为“一个”的概率。通过对构成信号的所有单个位的活动求和,可以计算出字级信号的切换活动分析。还表明,如果正态分布信号x的高阶位的相关系数为/ spl rho /(x / sub c /),则相关开始的比特P / sub 0 /且相关系数为相关hy / spl rho /(x / sub c /)= erfc {(2(P / sub 0 / -1)-1)/(// spl radic / 2 / spl sigma // sub x /)},其中erfc( x)=互补误差函数; / spl sigma // sub x / = x的方差。所提出的方法可以在不到一秒钟的时间内估算出开关活动,这比基于仿真的方法要快几个数量级。仿真结果表明,使用所提方法的误差平均约为6.1%,该方法甚至适用于高度相关的语音和音乐信号。

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