Selecting the best wavelet packet pier inspired by biological methods

Subject Areas : Majlesi Journal of Telecommunication Devices

Alireza  Rezaee ¹ (university of tehran)

Received: 2017-01-15 Accepted : 2017-01-25 Published : 2017-03-01

Keywords:

References:

[1] T.Schell, A. Uhi, “Optimization and Assessment of Wavelet Packet Decompositions with Evolutionary Computation”, EURASIP Journal on Applied Signal Processing, 806-813, August 2003.

[2] Peng Xu, Chan, A.K., “Optimal wavelet sub-band Selection using Genetic Algorithm”, Geoscience and Remote Sensing Symposium, 2002, IGARSS ’02, 2002 IEEE International, vol.3, pp.1441-1443, June 2002 .

[3] Il Yong KIM, O. De Weck, “Variable Chromosome Length Genetic Algorithm for Structural Topology Design Optimization”, 45th, Structural Dynamics & Materials Conference, April 2004.

[4] R. R. Coifman, M. V. Wickerhauser, “Entropy-Based Algorithms for Best Basis Selection”, IEEE Transactions on information theory, VOL. 38, NO. 2, March 1992.

[5] M. V. Wickerhauser, “Adapted Wavelet Analysis from Theory to Software”, A. K. Peters,Wellesley, Mass, USA, 1994.

[6] C. Taswell, “Near-best basis selection algorithms with nonadditive information cost functions”, in Proc. IEEE International Symposium on Time-Frequency and Time-Scale Analysis (TFTS ’94), M. Amin, Ed., pp. 13–16, IEEE Press, Philadelphia,

Pa, USA, October 1994.

[7] S.G. Mallat, “A theory for multiresolution signal decomposition: The wavelet representation”, IEEE Trans. Pattern Anal. Machine Intell., vol. 11, pp. 674-693, July 1989.

[8] C.Sidney Burrus, Ramesh A. Gopinath, Haitao Gue, “Introduction to Wavelets and Wavelet Transforms”, New Jersy: Prentice Hall, 1st edition, 1998.