Fundamentals of statistical signal processing: estimation theory
Fundamentals of statistical signal processing: estimation theory
Statistical estimation of the switching activity in digital circuits
DAC '94 Proceedings of the 31st annual Design Automation Conference
Extreme delay sensitivity and the worst-case switching activity in VLSI circuits
DAC '95 Proceedings of the 32nd annual ACM/IEEE Design Automation Conference
Accurate power estimation of CMOS sequential circuits
IEEE Transactions on Very Large Scale Integration (VLSI) Systems - Special issue on the 1995 IEEE ASIC conference
Lower bounds on power dissipation for DSP algorithms
ISLPED '96 Proceedings of the 1996 international symposium on Low power electronics and design
Efficient estimation of dynamic power consumption under a real delay model
ICCAD '93 Proceedings of the 1993 IEEE/ACM international conference on Computer-aided design
DAC '97 Proceedings of the 34th annual Design Automation Conference
Statistical estimation of average power dissipation in sequential circuits
DAC '97 Proceedings of the 34th annual Design Automation Conference
Computation of lower bounds for switching activity using decision theory
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
McPOWER: a Monte Carlo approach to power estimation
ICCAD '92 Proceedings of the 1992 IEEE/ACM international conference on Computer-aided design
Power modeling for high-level power estimation
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
Dependency preserving probabilistic modeling of switching activity using bayesian networks
Proceedings of the 38th annual Design Automation Conference
Adaptive Filtering: Algorithms and Practical Implementation
Adaptive Filtering: Algorithms and Practical Implementation
Average Power in Digital CMOS Circuits using Least Square Estimation
VLSID '01 Proceedings of the The 14th International Conference on VLSI Design (VLSID '01)
Statistical estimation of average power dissipation using nonparametric techniques
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
Information theoretic measures for power analysis [logic design]
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Stratified random sampling for power estimation
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Switching activity estimation of VLSI circuits using Bayesian networks
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
Multimode power modeling and maximum-likelihood estimation
IEEE Transactions on Very Large Scale Integration (VLSI) Systems - Nanoelectronic circuits and systems
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The estimation of average-power dissipation of a circuit through exhaustive simulation is impractical due to the large number of primary inputs and their combinations. In this brief, two algorithms based on least square estimation are proposed for determining the average power dissipation in complementary metal-oxide-semiconductor (CMOS) circuits. Least square estimation converges faster by attempting to minimize the mean square error value during each iteration. Two statistical approaches namely, the sequential least square (SLS) estimation and the recursive least square estimation are investigated. The proposed methods are distribution independent in terms of the input samples, unbiased and point estimation based. Experimental results presented for the MCNC'91 and the ISCAS'89 benchmark circuits show that the least square estimation algorithms converge faster than other statistical techniques such as the Monte Carlo method (4) and the DIPE (8).