Non-Gaussian prior Fast Bayesian Matching Pursuit

Mudassir Masood, Tareq Y. Al-Naffouri

    Research output: Chapter in Book/Report/Conference proceedingConference contribution


    A fast matching pursuit method (nGpFBMP) is introduced which performs Bayesian estimates of sparse signals even when the signal prior is non-Gaussian/unknown. It is agnostic on signal statistics and utilizes a greedy approach and order-recursive updates to determine the approximate MMSE estimate of the sparse signal. Simulation results demonstrate the power and robustness of the method.
    Original languageEnglish (US)
    Title of host publication15th. Saudi Technical Exchange Meeting (STEM)
    StatePublished - Dec 2012

    Bibliographical note

    KAUST Repository Item: Exported on 2020-10-01


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