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Title: Design of optimal digital filters
Authors: Qiu, Guangju.
Keywords: DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems
Issue Date: 2012
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.
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:EEE Student Reports (FYP/IA/PA/PI)

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