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

Lang, MarkusBamberger, Joachim2007-10-312007-10-311994-07-012004-11-08M. Lang and J. Bamberger, "Nonlinear phase FIR filter design with minimum LS error and additional constraints," EURASIP Signal Processing, 1994.https://hdl.handle.net/1911/20044Journal PaperWe examine the problem of approximating a complex frequency response by a real-valued FIR filter according to the L2 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 L2 and an Loo design. The L2 and the Loo solution result as special cases.engfilter designFilter DesignNonlinear phase FIR filter design with minimum LS error and additional constraintsJournal articlefilter designhttp://dx.doi.org/10.1109/ICASSP.1993.319434