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Peak-Constrained Least-Squares IIR Digital Filters Using Recursive Quadratic Programming
Pacific Grove, CA October 30-November 02
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ACSSC.1995.54084629th Asilomar Conference on Signals, ...
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J.L. Sullivan, J.W. Adams, R. Roosta, "Peak-Constrained Least-Squares IIR Digital Filters Using Recursive Quadratic Programming," Asilomar Conference on Signals, Systems and Computers, pp. 980, 29th Asilomar Conference on Signals, Systems and Computers (2-Volume Set), 1995.
 
 
BibTex
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@article{ 10.1109/ACSSC.1995.540846,
author = {J.L. Sullivan and J.W. Adams and R. Roosta},
title = {Peak-Constrained Least-Squares IIR Digital Filters Using Recursive Quadratic Programming},
journal ={Asilomar Conference on Signals, Systems and Computers},
volume = {0},
year = {1995},
issn = {1058-6393},
pages = {980},
doi = {http://doi.ieeecomputersociety.org/10.1109/ACSSC.1995.540846},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Asilomar Conference on Signals, Systems and Computers
TI - Peak-Constrained Least-Squares IIR Digital Filters Using Recursive Quadratic Programming
SN - 1058-6393
SP
EP
A1 - J.L. Sullivan,
A1 - J.W. Adams,
A1 - R. Roosta,
PY - 1995
VL - 0
JA - Asilomar Conference on Signals, Systems and Computers
ER -
 
J.L. Sullivan, Department of Electrical Engineering and Computer Engineering California State University, Northridge, CA 91330-8346
J.W. Adams, Department of Electrical Engineering and Computer Engineering California State University, Northridge, CA 91330-8346
R. Roosta, Department of Electrical Engineering and Computer Engineering California State University, Northridge, CA 91330-8346
We presented a new weighted least-squares algorithm that can design peak-constrained least-squares IIR digital filters at the Asilomar 94 conference. In this Asilomar 95 paper we will present a new recursive quadratic programming algorithm for designing peak-constrained least-squares IIR digital filters. The new algorithm is better than Deckzy's well-known IIR filter design algorithm because it can simultaneously optimize the peak error and the total squared error.
Citation:
J.L. Sullivan, J.W. Adams, R. Roosta, "Peak-Constrained Least-Squares IIR Digital Filters Using Recursive Quadratic Programming," asilomar, pp.980, 29th Asilomar Conference on Signals, Systems and Computers (2-Volume Set), 1995
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