Design of nonuniformly spaced linear-phase FIR filters using mixed integer linear programming

Abstract

An optimization problem for designing a nonuniformly spaced linear-phase FIR filter with minimal complexity is formulated and solved by mixed integer linear programming (MILP). Examples illustrate that the proposed method is useful for designing a wide range of filter types and can outperform subset selection-based design methods.