Design of optimal digital filters

• Main Author: Qiu, Guangju.
• Other Authors: Lin Zhiping
• Format: Final Year Project
• Language: English
• Published: 2012
• Subjects: DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems
• Online Access: http://hdl.handle.net/10356/50206
• Institution: Nanyang Technological University

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.