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Optimal Analog Wavelet Bases Construction Using Hybrid Optimization Algorithm

International Journal on Smart Sensing and Intelligent Systems
Volume 9 (2016): Issue 4 (January 2016)
By:
Open Access
|Dec 2016

References

  1. S. Mallat, A Wavelet Tour of Signal Processing. New York: Academic, 1999.10.1016/B978-012466606-1/50008-8
    Search in Google ScholarBack to article
  2. Walnut, David F, An Introduction to Wavelet Analysis. Boston: Birkhäuser Press, 2004.10.1007/978-1-4612-0001-7
    Search in Google ScholarBack to article
  3. Su Hua, Zhang Tianyuan, Zhang Ning, “Acoustic emission based defects monitoring of Three-Dimensional braided composites using wavelet network”, International Journal on Smart Sensing and Intelligent System, vol. 9, no. 2, 2016, pp.780-798.10.21307/ijssis-2017-895
    Search in Google ScholarBack to article
  4. Zhang Ning, Zhu Jinfu, “Study on image compression and fusion based on the wavelet transform technology”, International Journal on Smart Sensing and Intelligent System, vol. 8, no. 1, 2015, pp. 480-496.10.21307/ijssis-2017-768
    Search in Google ScholarBack to article
  5. H. Hashim, S. Ramli, N. Wahi, M. S. Sulaiman, N. Hassan, “Recognition of Psioriasis Features via Daubechies D8 Wavelet Technique “, International Journal on Smart Sensing and Intelligent System, vol. 6, no. 2, 2013, pp. 711-732.10.21307/ijssis-2017-562
    Search in Google ScholarBack to article
  6. I. F. Akyildiz, T. Melodia, and K. R. Chowdhury, “A survey on wireless multimedia sensor networks,” Computer Networks, vol. 51, no. 4, 2007, pp. 921-960.10.1016/j.comnet.2006.10.002
    Search in Google ScholarBack to article
  7. Rein. S, Reisslein. M, “Low-memory wavelet transforms for wireless sensor networks: A tutorial,” IEEE Communications Surveys & Tutorials, vol. 13, no. 2, 2011, pp. 291-307.10.1109/SURV.2011.100110.00059
    Search in Google ScholarBack to article
  8. R. Sarpeshkar, C. Salthouse, J. J. Sit, etc., “An ultra-low-power programmable analog bionic ear processor,” IEEE Trans. Biomed. Eng., vol. 52, no. 4, 2005, pp. 711-727.10.1109/TBME.2005.84404315825873
    Search in Google ScholarBack to article
  9. V. Gopalakrishna, N. Kehtarnavaz, P. C. Loizou, “A recursive wavelet-based strategy for real-time cochlear implant speech processing on PDA platforms,” IEEE Trans. Biomed. Eng., vol. 57, no. 8, 2010, pp. 2053-2063.10.1109/TBME.2010.2047644319060520403778
    Search in Google ScholarBack to article
  10. S. A. P. Haddad, R. Houben, and W. A. Serdijn, “Analog wavelet transform employing dynamic tranlinear circuits for cardiac signal characterization,” in Proc. IEEE Int. Symp. Circuits Syst. (ISCAS), 2003, vol. 1, pp. 121-124.
    Search in Google ScholarBack to article
  11. M. W. Phyu, Y. Zheng, B. Zhao, L. Xin and Y. S. Wang, “A real-time ECG QRS detection ASIC based on wavelet multiscale analysis,” Proc. IEEE Asian Solid-State Circuit Conf., pp. 293-296, 2009.10.1109/ASSCC.2009.5357252
    Search in Google ScholarBack to article
  12. Hoon-Ki Kim,Yu-Ri Kang,Gil-Su Kim,etc., “Design of Wavelet-Based ECG Detector for Implantable Cardiac Pacemakers,” IEEE Trans. Biomedical Circuits and Systems, vol. 7, no. 4, 2013, pp. 426-436.10.1109/TBCAS.2012.222946323893202
    Search in Google ScholarBack to article
  13. F.Baskaya, S. Reddy, S.K. Lim, “Placement for Large-scale Floating-Gate Field Programmable Analog Arrays,” IEEE Trans. VLSI, Vol. 14, No. 8, 2006, pp.906-910.10.1109/TVLSI.2006.878477
    Search in Google ScholarBack to article
  14. T.S. Hll, C.M. Twigg, J.D. Gray, P. Hasler, “Large-scale field-programmable analog arrays for analog signal processing,” IEEE Trans. Circuits Syst. I, vol. 52, no. 11, 2005, pp. 2298-2307.10.1109/TCSI.2005.853401
    Search in Google ScholarBack to article
  15. A. Basu, S. Brink, C. Schlottmann, S. Ramakrishnan, C. Petre, S. Koziol, F. Baskaya, C. M. Twigg and P. Hasler, “A floating-gate-based field-programmable analog array,” IEEE J. Solid-State Circuits, vol. 45,, 2010, pp. 1781-1794.10.1109/JSSC.2010.2056832
    Search in Google ScholarBack to article
  16. D. FemÃindez, L. MartÃnez-Alvarado and J. Madrenas, “A translinear, log-domain FPAA on standard CMOS technology,” IEEE J. Solid-State Circuits, vol. 47, 2012, pp. 490-503.10.1109/JSSC.2011.2170597
    Search in Google ScholarBack to article
  17. W. Fu, J. Jiang, X. Qin, T. Yi and Z. Hong, “A reconfigurable analog processor using coarse-grained heterogeneous configurable analog blocks for field programmable mixed-signal processing,” Analog Integr. Circuits Signal Process., vol. 68, no. 1, 2011, pp. 93-100.10.1007/s10470-010-9566-5
    Search in Google ScholarBack to article
  18. Moreira-Tamayo O, Pineda de Gyvez J, “Analog computation of wavelet transform coefficients in real-time,” IEEE Trans. Circuits Syst. I, vol. 44, no. 1, 1997, pp. 60-70.10.1109/81.558443
    Search in Google ScholarBack to article
  19. T. R. Edwards and M. D. Godfrey, “An analog wavelet transform chip,” ICNN Proc., pp.1247 -1251, 1993.
    Search in Google ScholarBack to article
  20. He Yigang, Huang Qingxiu, “Continuous Wavelet transform synthesis using instantaneous companding circuits,” Proc of world multiconference on systemics, Cybernetic and Informatics, proceedings, Orlando, USA., pp. 316-321, 2003.
    Search in Google ScholarBack to article
  21. Lin, W. Ki, T. Edwards, and S. Shamma, “Analog VLSI implementations of auditory wavelet transforms using switch-capacitor circuits,” IEEE Trans. Circuits Syst. I, vol. 41, no. 9, 1994, pp. 572-583.10.1109/81.317956
    Search in Google ScholarBack to article
  22. M. Liu, Q. Hu, and Y. He, “A novel analog VLSI implementation of wavelet transform based on SI circuits,” in Proc. Congr. Image Signal Process. (CISP), May 2008, vol. 1, pp. 317–323.10.1109/CISP.2008.281
    Search in Google ScholarBack to article
  23. W. Zhao, Y.-G. He, J. Huang, Y. Y. Xie, and Y. Zhang, “Analogue VLSI implementations of wavelet transform based on switched-current technology,” in Proc. Int. Conf. Wavelet Anal. Pattern Recognit. (ICWAPR), Nov. 2007, vol. 4, pp. 1787–1792.
    Search in Google ScholarBack to article
  24. M.A. Gurrola-Navarro, G. Espinosa-Flores-Verdad, “Analogue wavelet transform with single biquad stage per scale,” Electronics Letters, vol. 46, no. 9, 2010,pp. 616-618.10.1049/el.2010.0437
    Search in Google ScholarBack to article
  25. Wenshan Zhao,Yigang He, Realization of wavelet transform using switched-current filters, Circuits Systems and Signal Processing, vol. 71, no. 10, 2012, pp. 571-581.10.1007/s10470-011-9743-1
    Search in Google ScholarBack to article
  26. J. M. H. Karel, R. L. M. Peeters, R. L. Westra, S. A. P. Haddad, and W. A. Serdijn, “An L2 -based approach for wavelet approximation,” in Proc. CDC-ECC, 2005.
    Search in Google ScholarBack to article
  27. L Hongmin, H Yigang, Y Sun, “Detection of cardiac signal characteristic point using log-domain wavelet transform circuits,” Circuits Systems and Signal Processing, vol. 27, no. 10, 2008, pp. 683-698.10.1007/s00034-008-9052-9
    Search in Google ScholarBack to article
  28. Hongmin Li, Heyi Gang,Guoyun Zhang, “Log-domain implementation of analog wavelet filters”, Intelligent Control and Information Processing (ICICIP), 2010 International Conference on, pp. 187-190, Aug. 2010.
    Search in Google ScholarBack to article
  29. M.A. Gurrola-Navarro, G. Espinosa-Flores-Verdad, “Analogue wavelet transform with single biquad stage per scale,” Electronics Letters, vol. 46, no. 9, 2010, pp. 616-618.10.1049/el.2010.0437
    Search in Google ScholarBack to article
  30. M. Li, Y. He and Y. Long, “Analog VLSI implementation of wavelet transform using switched-current circuits,” Analog Integrated Circuits and Signal Processing, vol. 71, no. 5, 2012,pp. 283-291.10.1007/s10470-011-9705-7
    Search in Google ScholarBack to article
  31. Li, M., He, Y., “Analog wavelet transform using multiple-loop feedback switched-current filters and simulated annealing algorithms,” International journal of Electronics and Communications, vol. 68, no. 5, 2014,pp. 388-394.10.1016/j.aeue.2013.11.002
    Search in Google ScholarBack to article
  32. Joseph-Frédéric Bonnans, Numerical Optimization: Theoretical and Practical Aspects, springer press, 2006.
    Search in Google ScholarBack to article
  33. Kennedy J, Eberhart RC, “Particle swarm optimization,” In: Perth, Piscataway. IEEE International Conference on Neural Networks, Australia: IEEE Service Center, pp.1942-1948, 1995.
    Search in Google ScholarBack to article
  34. D. Henderson, S. H. Jacobson, and A. W. Jacobson, “The theory and practice of simulated annealing,” in Handbook of Metaheuristics, Kluwer Academic Publishers Group, pp. 287-319, 2003.10.1007/0-306-48056-5_10
    Search in Google ScholarBack to article
  35. T. Back, Evolutionary Algorithm in Theory and Practice, Oxford Univ. Press, 1996.10.1093/oso/9780195099713.003.0007
    Search in Google ScholarBack to article
  36. Madhuri, K. Deep, “A state-of-the-art review of population-based parallel meta-heuristics,” World Congress on Nature & Biologically Inspired Computing, pp. 1604 -1607, Dec. 2009.
    Search in Google ScholarBack to article
  37. F. Van den Bergh, A. P. Engelbrecht, "A Cooperative approach to particle swarm optimization,” IEEE Trans. Evolutionary Computation, vol. 8, no. 3, 2004, pp. 225-239.10.1109/TEVC.2004.826069
    Search in Google ScholarBack to article
  38. B. Liu, L. Wang, Y.H. Jin, F. Tang, D.X. Huang, “Improved particle swarm optimization combined with chaos,” Chaos, Solitons Fractals, vol. 25, no. 5, 2005,pp. 1261-1271.10.1016/j.chaos.2004.11.095
    Search in Google ScholarBack to article
  39. Mieczyslaw Jessa, “Designing Security for Number Sequences Generated by Means of the Saw tooth Chaotic Map,” IEEE Trans. Circuits Syst. I, vol. 53, no. 5, 2006,pp. 1140-1150.s10.1109/TCSI.2005.862185
    Search in Google ScholarBack to article
DOI: https://doi.org/10.21307/ijssis-2017-946 | Journal eISSN: 1178-5608
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Language: English
Page range: 1918 - 1942
Submitted on: Apr 29, 2016
Accepted on: Oct 17, 2016
Published on: Dec 1, 2016
Published by: Professor Subhas Chandra Mukhopadhyay
In partnership with: Paradigm Publishing Services
Publication frequency: 1 times per year
Keywords:
Wavelet transform,
Analog wavelet base,
Optimization methods,
Particle swarm optimization (PSO),
Saw tooth chaotic map,
Sequential quadratic programming (SQP)
Related subjects:
Engineering,
Introductions and overviews,
Engineering, other

© 2016 Hongmin Li, Yigang He, Yichuang Sun, published by Professor Subhas Chandra Mukhopadhyay
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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