Majority-granted nonlinearity-based training for the synthesis of a composite filter is proposed. The motivation is the limited modulation capability of the spatial light modulator (SLM) which is incorporated as a design constraint in the form of a simple thresholding scheme. The technique is simple, and less computationally extensive nevertheless resulting in a robust enough SLM-realizable distortion-invariant correlator. Simulation results are provided for the case of rotation invariant character recognition, which shows better correlation discrimination and robust recognition for a range of distorted characters.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Training-based SLM-realizable composite filter design


    Contributors:
    Ahmed, F. (author)


    Publication date :

    1997-01-01


    Size :

    419885 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Training-based SLM-realizable Composite Filter Design

    Ahmed, F. / IEEE | British Library Conference Proceedings | 1997


    Optimum Realizable Continuous Range Estimation

    Salwen, Howard C. / Zaorski, Ralph | IEEE | 1968



    Realizable Dynamic Hybrid LES Model Developments

    Mokhtarpoor, Reza / Stoellinger, Michael K. / Heinz, Stefan | AIAA | 2018