Peak-Constrained Least-Squares IIR Digital Filters Using Recursive Quadratic Programming

	This Article
	Subscribers, please Login Purchase article: $19 PDF IEEE Xplore Subscribers RSS feed
	Share
	Email this Article to a friend
	Bibliographic References
	ASCII Text BibTex RefWorks Procite/RefMan/Endnote
	Add to:
	Digg Furl Spurl Blink Simpy Google Del.icio.us Y!MyWeb
	Search
	Similar Articles Articles by J.L. Sullivan Articles by J.W. Adams Articles by R. Roosta

29th Asilomar Conference on Signals, Systems and Computers (2-Volume Set)

Pacific Grove, CA

October 30-November 02

ISBN: 0-8186-7370-2

	ASCII Text	x
	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	x
	@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	x
	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

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ACSSC.1995.540846

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

Peer Review Notice | Give Us Feedback

Usage of this product signifies your acceptance of the Terms of Use.