TY - GEN

T1 - Theoretical analysis of word-level switching activity in the presence of glitching and correlation

AU - Satyanarayana, Janardhan H.

AU - Parhi, Keshab K.

PY - 1999/12/1

Y1 - 1999/12/1

N2 - 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. A novel expression is derived for the switching activity αf at the output node f of an arbitrary circuit in terms of time-slot autocorrelation coefficient, the expected value, and the signal probability. 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. A novel relationship between the correlation coefficient of the higher order bits of a normally distributed signal and the bit where the correlation begins is also presented. The proposed approach can estimate the switching activity in less than a second which is order of magnitude faster than simulation based approaches. Simulation results show that the errors using the proposed approach are about 6% on an average and that the approach is well suited even for highly correlated speech and music signals.

AB - 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. A novel expression is derived for the switching activity αf at the output node f of an arbitrary circuit in terms of time-slot autocorrelation coefficient, the expected value, and the signal probability. 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. A novel relationship between the correlation coefficient of the higher order bits of a normally distributed signal and the bit where the correlation begins is also presented. The proposed approach can estimate the switching activity in less than a second which is order of magnitude faster than simulation based approaches. Simulation results show that the errors using the proposed approach are about 6% on an average and that the approach is well suited even for highly correlated speech and music signals.

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M3 - Conference contribution

AN - SCOPUS:0033361729

SN - 0769501044

T3 - Proceedings of the IEEE Great Lakes Symposium on VLSI

SP - 46

EP - 49

BT - Proceedings of the IEEE Great Lakes Symposium on VLSI

PB - IEEE

T2 - Proceedings of the 1999 9th Great Lakes Symposium on VLSI (GLSVLSI '99)

Y2 - 4 March 1999 through 6 March 1999

ER -