Two Design Techniques for Digital Phase Networks

Abstract

Two computer‐aided algorithms for the design of all‐pass digital filters are presented. The first technique is based on a linear programming approach to solving the approximation problem posed by the minimax design of an all‐pass digital filter. A new iterative algorithm with stability constraints is offered for direct form design. The second technique implements a gradient search for those quadratic factors of an all‐pass transfer function that lead to a locally optimal approximation (in the least‐squares sense) of a desired phase function. New initial guess procedures and the parameterization of linear‐phase offset enhance the least‐squares design procedure. Examples illustrating the result of both procedures are included.

A new approach to the design of complex all-pass IIR digital filters

“…In the last decade, there have been several papers published concern real coefficient IIR all-pass filter design with their respective features [5,2,1,14,8,6]. Recently, Ikehara et al [6] extend their design algorithm to design further complex coefficient allpass networks by Remez algorithm [7].…”