Optimal parallel 2-D FIR digital filter with separable terms

Files in this item

Files Size Format View
Ven1997May1Optimalpar.PS 838.7Kb application/postscript View/Open

Show full item record

Item Metadata

Title: Optimal parallel 2-D FIR digital filter with separable terms
Author: Venkatachalam, Vidya; Aravena, Jorge.L.
Type: Journal Paper
Keywords: filter design
Citation: V. Venkatachalam and J. Aravena, "Optimal parallel 2-D FIR digital filter with separable terms," IEEE Transactions on Signal Processing, vol. 45, no. 5, 1997.
Abstract: This paper completely solves the optimal Weighted Least Mean Square (WLMS) design problem using sums of separable terms. For any fixed number of separable terms (less than or equal to the rank of the unconstrained solution), the problem is solved as a sequence of separable filter approximations. An efficient computational algorithm based on necessary conditions is presented. The procedure allows a high degree of flexibility in the choice of filter orders and the number of separable terms, but it may converge to a local minimum. An improved approximation can be obtained by computing more terms than required and then performing a truncation of the coefficient matrix using a singular value analysis. A significant computational advantage is that the procedure requires neither the solution of the unconstrained WLMS problem nor the singular value analysis of the ideal filter.
Date Published: 1997-05-01

This item appears in the following Collection(s)

  • ECE Publications [1034 items]
    Publications by Rice University Electrical and Computer Engineering faculty and graduate students
  • DSP Publications [508 items]
    Publications by Rice Faculty and graduate students in digital signal processing.