A novel approach to L2-sensitivity minimization of digital filters subject to L2-scaling constraints

Abstract— This paper proposes a novel approach to L2sensitivity minimization problem of state-space digital filters subject to L2-scaling constraints. The proposed approach reduces the constrained optimization problem to an unconstrained optimization problem by appropriate variable transformation. As a result, iterative algorithms for the L2-sensitivity minimization without L2-scaling constraints can be applied to the L2-sensitivity minimization subject to L2-scaling constraints. Our novel approach can achieve the L2-sensitivity minimization with quite faster convergence behavior.

• Type: Conference
• Year: 2006
• Where: ISCAS
• Authors: Shunsuke Yamaki, Masahide Abe, Masayuki Kawamata
• Keywords: ISCAS 2006, L2-scaling Constraints, L2-sensitivity Minimization, L2sensitivity Minimization Problem