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• W2157485906 abstract "This paper examines the problem of estimating the parameters of a bandlimited signal from samples corrupted by random jitter (timing noise) and additive iid Gaussian noise, where the signal lies in the span of a finite basis. For the presented classical estimation problem, the Cramer-Rao lower bound (CRB) is computed, and an Expectation-Maximization (EM) algorithm approximating the maximum likelihood (ML) estimator is developed. Simulations are performed to study the convergence properties of the EM algorithm and compare the performance both against the CRB and a basic linear estimator. These simulations demonstrate that by post-processing the jittered samples with the proposed EM algorithm, greater jitter can be tolerated, potentially reducing on-chip ADC power consumption substantially." @default.
• W2157485906 created "2016-06-24" @default.
• W2157485906 creator A5006764308 @default.
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• W2157485906 date "2011-02-01" @default.
• W2157485906 modified "2023-10-14" @default.
• W2157485906 title "On the Estimation of Nonrandom Signal Coefficients From Jittered Samples" @default.
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• W2157485906 doi "https://doi.org/10.1109/tsp.2010.2090347" @default.
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