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Wavelet-denoising on hardware devices with Perfect Reconstruction, low latency and adaptive thresholding

Author
Ballesteros, D.; Moreno, J.
Type of activity
Journal article
Journal
Computers and electrical engineering
Date of publication
2013-05
Volume
39
Number
4
First page
1300
Last page
1311
DOI
https://doi.org/10.1016/j.compeleceng.2013.03.005 Open in new window
Repository
http://hdl.handle.net/2117/20141 Open in new window
URL
http://www.sciencedirect.com/science/article/pii/S0045790613000621# Open in new window
Abstract
This paper introduces a wavelet denoising architecture with adaptive thresholding for real-time 1D-systems and without the use of external memories for storing input data or wavelet coefficients. The Discrete Wavelet Transform (DWT) is executed sample-by-sample by a polyphase scheme of the biorthogonal base 5/3. Since the weights of the filters are represented by integer terms and the quantization error is quasi-zero, the principle of Perfect Reconstruction is satisfied. The adaptive threshold i...
Citation
Ballesteros, D.; Moreno, J. Wavelet-denoising on hardware devices with Perfect Reconstruction, low latency and adaptive thresholding. "Computers and electrical engineering", Maig 2013, vol. 39, núm. 4, p. 1300-1311.
Group of research
ISSET - Integrated Smart Sensors and Health Technologies

Participants