Chapter 1: Invited Addresses and Tutorials on Signals, Coding,
  Systems and Intelligent Techniques

Title: Architecture for denoising EEG signals based on Discrete Wavelet Transform

Author(s): Andres Eduardo Gaona Barrera, Dora Maria Ballesteros Larrotta

Address: Department of Electronic Engineering, Manuela Beltran University, Bogota, Colombia | Department of Bioengineering, University of Antioquia, Medellin, Colombia

Reference: 12th International Workshop on Systems, Signals and Image Processing pp. 329 - 333

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.

Order a copy of this article