A class of nonlinear filters called rank conditioned rank selection (RCRS) filters is developed and analyzed in this paper. The RCRS filters are developed within the general framework of rank selection (RS) filters, which are filters constrained to output an order statistic from the observation set. The information used by the RCRS filters to select an output rank is the ranks of selected input samples, hence the name rank conditioned rank selection filters.<>


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Selection filters for signal restoration


    Contributors:
    Hardie, R.C. (author) / Barner, K.E. (author) / Sarhan, A. (author)


    Publication date :

    1994-01-01


    Size :

    574327 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Selection Filters for Signal Restoration

    Hardie, R. C. / Barner, K. E. / Sarhan, A. et al. | British Library Conference Proceedings | 1994


    Multichannel nonlinear filters for signal restoration

    Dosari, R.A. / Hardie, R.C. / Sarhan, A.M. et al. | IEEE | 1997


    Multi-Channel Nonlinear Filters for Signal Restoration

    Dosari, R. / Hardie, R. / Sarhan, A. et al. | British Library Conference Proceedings | 1997



    Optimum Constrained Image Restoration Filters

    Riemer, Terry E. / McGillem, Clare D. | IEEE | 1977