CaltechAUTHORS
  A Caltech Library Service

Iterative gradient technique for the design of least squares optimal FIR magnitude squared Nyquist filters

Tkacenko, Andre and Vaidyanathan, P. P. (2004) Iterative gradient technique for the design of least squares optimal FIR magnitude squared Nyquist filters. In: Proceedings of the 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing. International Conference on Acoustics Speech and Signal Processing. IEEE , Piscataway, NJ, pp. 981-984. ISBN 1520-6149 http://resolver.caltech.edu/CaltechAUTHORS:20110907-113511682

Full text is not posted in this repository. Consult Related URLs below.

Use this Persistent URL to link to this item: http://resolver.caltech.edu/CaltechAUTHORS:20110907-113511682

Abstract

Recently, much attention has been given to the design of optimal finite impulse response (FIR) compaction filters. Such filters, which arise in the design of optimal signal-adapted orthonormal FIR filter banks, satisfy a magnitude squared Nyquist constraint in addition to the inherent FIR assumption. In this paper, we focus on the least squares optimal design of FIR filters whose magnitude squared response satisfies a Nyquist constraint. Using a complete characterization of such systems in terms of Householder-like building blocks, an iterative gradient based greedy algorithm is proposed to design such filters. Simulation results provided show the merit of the proposed technique for designing FIR compaction filters.


Item Type:Book Section
Related URLs:
URLURL TypeDescription
http://dx.doi.org/10.1109/ICASSP.2004.1326424 DOIUNSPECIFIED
http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1326424PublisherUNSPECIFIED
Additional Information:© 2004 IEEE. Issue Date: 17-21 May 2004. Date of Current Version: 30 August 2004. Work supported in part by the ONR grant N00014-99-1-1002, USA.
Funders:
Funding AgencyGrant Number
Office of Naval Research (ONR)N00014-99-1-1002
Other Numbering System:
Other Numbering System NameOther Numbering System ID
INSPEC Accession Number8032989
Record Number:CaltechAUTHORS:20110907-113511682
Persistent URL:http://resolver.caltech.edu/CaltechAUTHORS:20110907-113511682
Official Citation:Tkacenko, A.; Vaidyanathan, P.P.; , "Iterative gradient technique for the design of least squares optimal FIR magnitude squared Nyquist filters," Acoustics, Speech, and Signal Processing, 2004. Proceedings. (ICASSP '04). IEEE International Conference on , vol.2, no., pp. ii- 981-4 vol.2, 17-21 May 2004 doi: 10.1109/ICASSP.2004.1326424 URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=1326424&isnumber=29344
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:25244
Collection:CaltechAUTHORS
Deposited By: Tony Diaz
Deposited On:08 Sep 2011 16:26
Last Modified:08 Sep 2011 16:26

Repository Staff Only: item control page