Studies the use of the iteratively reweighted least squares (IRLS) algorithm to obtain an L/sub p/-approximation for the design of two-dimensional (2D) linear-phase finite impulse response (FIR) digital filters. The algorithm is based on an iterative optimization technique first introduced in Burrus et al. for the design of 1D linear-phase digital filters and is very useful in the design of filters that give a trade-off between the traditional L/sub 2/ and L/sub /spl infin// designs. The new algorithm proposed, in terms of the maximum error in frequency response and complexity of implementation, compares favorably with the L/sub p/ optimization technique proposed by Lodge and Fahmy in [1980] and also with those obtained using other methods. Design examples and a comparison summary are presented.<>


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    Title :

    Iterative reweighted least squares and the design of two-dimensional FIR digital filters


    Contributors:


    Publication date :

    1994-01-01


    Size :

    389874 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Iterative Reweighted Least Squares and the Design of Two-Dimensional FIR Digital Filters

    Barreto, J. A. / Burrus, C. S. / IEEE; Signal Processing Society | British Library Conference Proceedings | 1994



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