SIGNAL DENOISING VIA WAVELET COEFfiCIENTS THRESHOLDING

Authors

  • Alice de Jesus Kozakevicius Universidade Federal de Santa Maria
  • Fábio Mariano Bayer Universidade Federal de Santa Maria

DOI:

https://doi.org/10.5902/2179460X13192

Abstract

http://dx.doi.org/10.5902/2179460X13192

The current work addresses topics related to signal filtering via wavelet shrinkage. Wavelets techniques applied to signal filteringgo back to the 80’s and an overview about the main results in the area are presented, as well as the most recent contributions,concerning applications and methodological aspects involved. A short discussion about wavelets and a detailed presentation aboutthe threshold operation are given. The main methods to define the threshold values are also described and their performances aretested through numerical simulations for 1D and 2D data. The presented results highlight the potential of associating waveletmethods to signal denoising techniques

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Published

2014-10-31

How to Cite

Kozakevicius, A. de J., & Bayer, F. M. (2014). SIGNAL DENOISING VIA WAVELET COEFfiCIENTS THRESHOLDING. Ciência E Natura, 36(3), 37–51. https://doi.org/10.5902/2179460X13192

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