Orders > Conference proceedings > 12th international workshop on systems, signals and image processing
(from Chapter 1: Invited Addresses and Tutorials on Signals, Coding,
 Systems and Intelligent Techniques)
| Full Citation and Abstract
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Title: |
Architecture for denoising EEG signals based on Discrete Wavelet Transform |
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Author(s): |
Andres Eduardo Gaona Barrera, Dora Maria Ballesteros Larrotta |
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Address: |
Department of Electronic Engineering,
Manuela Beltran University, Bogota, Colombia
Department of Bioengineering,
University of Antioquia, Medellin, Colombia
gaonab @ umb.edu.co, doramaria02 @ gmail.com |
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Reference: |
SSIP-SP1, 2005 pp. 329 - 333 |
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Abstract/
Summary |
This article introduces wavelet transform architecture in decomposing process for denoising in electroencephalographic signals. Main parts of this transform are exposed, as well as functional design and FPGA implementation for decomposition and thresholding stages. |
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