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This work presents techniques for computing the switching activities of all circuit nodes under pseudorandom or biased input sequences and assuming a zero delay mode of operation. Complex spatiotemporal correlations among the circuit inputs and internal nodes are considered by using a lag-one Markov Chain model. Evaluations of the model and a comparative analysis presented for benchmark circuits demonstrates the accuracy and the practicality of the method. The results presented in this paper are useful in power estimation and low power design.

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