Design of optimal digital filters

Design of optimal digital filters

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 Updat...

Full description

Saved in:
Bibliographic Details
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
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Nanyang Technological University
Language: English
Description
Summary: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.

Similar Items