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Nonlinear phase FIR filter design with minimum LS error and additional constraints

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Title: Nonlinear phase FIR filter design with minimum LS error and additional constraints
Author: Lang, Markus; Bamberger, Joachim
Type: Journal Paper
Keywords: filter design
Citation: M. Lang and J. Bamberger, "Nonlinear phase FIR filter design with minimum LS error and additional constraints," EURASIP Signal Processing, 1994.
Abstract: We examine the problem of approximating a complex frequency response by a real-valued FIR filter according to the L<sub>2</sub> norm subject to additional inequality constraints for the complex error function. Starting with the Kuhn-Tucker optimality conditions which specialize to a system of nonlinear equations we deduce an iterative algorithm. These equations are solved by Newton's method in every iteration step. The algorithm allows arbitrary tradeoffs between an L<sub>2</sub> and an L<sub>oo</sub> design. The L<sub>2</sub> and the L<sub>oo</sub> solution result as special cases.
Date Published: 1994-07-01

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  • 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.