Design and implementation of Wavelet Transform using Adaptive Genetic Algorithms and Analog filters

DOI

10.2991/icacsei.2013.30How to use a DOI?

Keywords

Wavelet transform, analog filters, analog implementation, switched-current differentiators, adaptive genetic algorithms.

Abstract

This paper presents a low power and low-voltage analog switched-current (SI) filters implementation of wavelet transform (WT) for real-time requirements in signal processing. First, an adaptive genetic algorithm (AGA) is used to calculate the transfer function of the filters, whose impulse response is the required wavelet base. This approach improves the approximation performance than the previous traditional approaches and allows for the circuit implementation of any other wavelet base. Next, the approximation wavelet function is implemented using SI filters based on the cascade structure with SI differentiators as main building blocks. The Gaussian wavelet is selected as an example to illustrate the design procedure. Simulations demonstrate that the proposed method implements WT is an excellent way.

Copyright

© 2013, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Mu Li
AU  - Yi gang He
AU  - Yang liang Ou
AU  - Jun nian Wang
PY  - 2013/08
DA  - 2013/08
TI  - Design and implementation of Wavelet Transform using Adaptive Genetic Algorithms and Analog filters
BT  - Proceedings of the 2013 International Conference on Advanced Computer Science and Electronics Information (ICACSEI 2013)
PB  - Atlantis Press
SP  - 123
EP  - 126
SN  - 1951-6851
UR  - https://doi.org/10.2991/icacsei.2013.30
DO  - 10.2991/icacsei.2013.30
ID  - Li2013/08
ER  -