On The Learning Behavior Of The Dr-Ls Algorithm Markus Rupp...  Home/Search
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Abstract: Adaptive algorithms with data-reuse, like the UNDRLMS algorithm, have recently received more attention due to their simple structure and their capability to improve the estimates by repeating the same operation. Since the basic operation is that of an LMS algorithm, it is a common belief that these algorithms converge towards the Wiener solution. In this paper, a data-reuse algorithm is analyzed that converges to the LS solution instead. The algorithm is similar to Kaczmarz's row projection... (Update)
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BibTeX entry: (Update)
@misc{ lucent-belllabs,
author = "Mail Rupp Lucent",
title = "Bell-Labs, Lucent Technologies, Wireless Research Lab. Zadelstede 1-10,3431JZNieuwegein,
THE NETHERLANDS Fax: +31 30609 7498, Tel: +31 30609 7493",
url = "citeseer.ist.psu.edu/402840.html" }
Citations (may not include all citations):32 Prediction and Control (context) - Goodwin, Sin et al. - 1984
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2 Advanced Concepts in Adaptive Signal Processing (context) - Jenkins, Hull et al. - 1996
2 Application of the normalized LMS algorithm to MSLC (context) - Nitzberg - 1985
1 Convergence properties of affine projection and normalized d.. (context) - Soni, Gallivan et al. - 1998
1 New data-reusing LMS algorithm for improved convergence (context) - Schnaufer, Jenkins - 1993
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