New approaches to constrained optimization of digital filters

Two algorithms are presented for the design of constrained least-squares digital filters. They can bound the error according to user specifications while also minimizing the total weighted squared error (TWSE). Although the two algorithms are very different internally, they produce very similar resu...

Full description

Saved in:
Bibliographic Details
Main Authors: Adams, J.W., Sullivan, J.L., Hashemi, R., Ghadimi, C., Franklin, J., Tucker, B.
Format: Conference Proceeding
Language:English
Subjects:
Algorithm design and analysis
Computer errors
Computer science
Constraint optimization
Design engineering
Digital filters
Finite impulse response filter
Frequency
Minimax techniques
Passband
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Two algorithms are presented for the design of constrained least-squares digital filters. They can bound the error according to user specifications while also minimizing the total weighted squared error (TWSE). Although the two algorithms are very different internally, they produce very similar results. One algorithm produces nearly optimal solutions, and the other algorithm produces solutions that are guaranteed to be optimal by the Kuhn-Tucker theorem.< >
DOI:10.1109/ISCAS.1993.393662