On the Achievability of Cramér–Rao Bound in Noisy Compressed Sensing

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On the Achievability of Cramér-Rao Bound In Noisy Compressed Sensing

Recently, it has been proved in [1] that in noisy compressed sensing, a joint typical estimator can asymptotically achieve the CramérRao lower bound of the problem. To prove this result, [1] used a lemma, which is provided in [2], that comprises the main building block of the proof. This lemma is based on the assumption of Gaussianity of the measurement matrix and its randomness in the domain o...

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ژورنال

عنوان ژورنال: IEEE Transactions on Signal Processing

سال: 2012

ISSN: 1053-587X,1941-0476

DOI: 10.1109/tsp.2011.2171953