A Novel Method for Gaussian Wavelet Approximation

DOI

10.2991/icmemtc-16.2016.113How to use a DOI?

Keywords

Wavelet transforms; Approximation; Particle Swarm Optimization; Analog VLSI

Abstract

For analog VLSI implementation of continuous Gaussian wavelet transform based on CMOS integrator, a novel method for Gaussian wavelet approximation based on swarm optimization algorithm is proposed. Gaussian mother wavelet is approximated by a parameterized class of function. By using a particle swarm optimization algorithm (PSO), the optimum parameters of this function are obtained. Experimental results show that the approximation approach based on PSO has superior performance.

Copyright

© 2016, 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  - Hongmin Li
AU  - Yangdong Wang
AU  - Xiong Zeng
PY  - 2016/04
DA  - 2016/04
TI  - A Novel Method for Gaussian Wavelet Approximation
BT  - Proceedings of the 2016 3rd International Conference on Materials Engineering, Manufacturing Technology and Control
PB  - Atlantis Press
SP  - 579
EP  - 582
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmemtc-16.2016.113
DO  - 10.2991/icmemtc-16.2016.113
ID  - Li2016/04
ER  -