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Technical Program

Paper Detail

Paper:	SPTM-P9.8
Session:	Signal Restoration, Reconstruction and Enhancement
Time:	Thursday, May 18, 14:00 - 16:00
Presentation:	Poster
Topic:	Signal Processing Theory and Methods: Signal Restoration, Reconstruction, and Enhancement
Title:	Design of Local Filters for the Deconvolution of Electron Energy Loss Spectrum
Authors:	David Brie, CRAN UMR 7039, France; Christian Heinrich, LSIIT / UMR 7005, France
Abstract:	This article proposes a new approach to the deconvolution of Electron Energy Loss Spectra, used for material characterization. This approach is based on local filters with varying bandwidth, adapted to the local (non-stationary) characteristics of the signal to restore. The local filter synthesis is achieved by means of three parameters determined by optimizing a compound criterion. The effectiveness of this approach is shown on an example.