Design of optimal digital filters

Abstract

This project is to study two methods for designing digital filters with a Minimax design criterion. They are Sequential Constrained Least-Squares Method combined with Steiglitz-McBride (SCLS-SM) and Sequential Minimization Procedure for Minimax Design of IIR Filter Based on Second-Order Factor Updates (SMSOF) which refers to converting the non-convex optimization problem into the convex problem and the stability issue of IIR filters. The Minimax design of infinite impulse response (IIR) digital filters is a non-convex optimization problem, and thus has many local minima.