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
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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|
|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.|
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|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.|
|Deposited By:||Tony Diaz|
|Deposited On:||08 Sep 2011 16:26|
|Last Modified:||23 Aug 2016 10:05|
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