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Proceedings Paper

Adaptive signal estimation using projection libraries
Author(s): Douglas E. Lake
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Paper Abstract

Many results in approximation theory, nonparametric regression, and adaptive signal representation assume that the signal is a smooth function or nonstationary in some smooth sense. These assumptions are not always applicable and perhaps even more importantly the times where the signal is not smooth are themselves important features to preserve in the signal representation. Previously, computationally efficient methods were developed to implement these approaches for the relatively simple problem of estimating multiple change points from a piecewise constant signal. In this paper, this approach is presented in the modern framework of waveform dictionaries, bases libraries, and atomic decomposition.

Paper Details

Date Published: 3 April 1997
PDF: 8 pages
Proc. SPIE 3078, Wavelet Applications IV, (3 April 1997); doi: 10.1117/12.271751
Show Author Affiliations
Douglas E. Lake, Office of Naval Research (United States)

Published in SPIE Proceedings Vol. 3078:
Wavelet Applications IV
Harold H. Szu, Editor(s)

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