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From the Bayesian statistical inference theory, a new mixed spectrum estimation method, which is based on Markov chain Monte Carlo (MCMC) approach, is proposed in this paper. The proposed method iteratively extracts the estimates of sinusoid parameters via the traditional methods, and estimates the ones of AR clutter parameters via the MCMC approach. Because the MCMC approach can fully dig the inherent...
An analytic model is proposed to assess the performance of optimistic software transactional memory (STM) systems with in-place memory updates for write operations. Based on an absorbing discrete-time Markov chain, closed-form analytic expressions are developed, which are quickly solved iteratively to determine key parameters of the STM system. The model covers complex implementation details such...
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