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An algorithm for compressive sensing reconstruction of signals in the Hermite expansion domain is proposed. The compressive sensing problem is formulated in the Hermite framework, allowing fast and efficient reconstruction of missing data by exploiting the concentration of signal's representation in the Hermite basis.
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