deposit_your_work

Adaptive Iterative Reqeighted Least Squares Design of LP FIR Filters

Files in this item

Files Size Format View
Var1999Mar5ADAPTIVEIT.PDF 136.0Kb application/pdf Thumbnail
Var1999Mar5ADAPTIVEIT.PS 377.6Kb application/postscript View/Open

Show full item record

Item Metadata

Title: Adaptive Iterative Reqeighted Least Squares Design of LP FIR Filters
Author: Vargas, Ricardo; Burrus, C. Sidney
Type: Conference paper
Keywords: FIR; IRLS; Lp
Publisher: IEEE
Citation: R. Vargas and C. S. Burrus, "Adaptive Iterative Reqeighted Least Squares Design of LP FIR Filters," vol. 3, pp. 1129-32, 1999.
Abstract: This paper presents an efficient adaptive algorithm for designing FIR digital filters that are efficient according to an Lp error criteria. The algorithm is an extension of Burrus' iterative reweighted least-squares (IRLS) method for approximating Lp filters. Such algorithm will converge for most significant cases in a few iterations. In some cases however, the transition bandwidth is such that the number of iterations increases significantly. The proposed algorithm controls such problem and drastically reduces the number of iterations required.
Date Published: 1999-03-01

This item appears in the following Collection(s)

  • ECE Publications [1048 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.