A comparative simulation study of wavelet based denoising algorithms

Proceedings - 15th International Conference on Electronics, Communications and Computers, CONIELECOMP 2005

Volumn 2005, Issue , 2005, Pages 125-130

  Rosas Orea, M C E ^a   Hernandez Diaz, M ^a   Alarcon Aquino, V ^a   Guerrero Ojeda, L G ^a  

^a UNIVERSIDAD DE LAS AMÉRICAS PUEBLA   (Mexico)

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE ALGORITHMS; COMPUTATIONAL METHODS; COMPUTER SIMULATION; ERROR ANALYSIS; WAVELET TRANSFORMS; WHITE NOISE;

DENOISING ALGORITHMS; MEAN SQUARED ERROR; REAL SIGNALS; SURE ALGORITHM;

GAUSSIAN NOISE (ELECTRONIC);

EID: 33745116587     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CONIEL.2005.6     Document Type: Conference Paper

References (17)

1. W. Tomasi, Electronic Communications Systems: Fundamentals Through Advanced. Prentice Hall, 4th. ed. 2001. New Jersey, USA.
2. H. W. Ott, Noise Reduction Techniques in Electronic Systems, AT&T Laboratories, Wiley-Interscience Publications. USA. 1988.
3. M. Wachowiak, G. Rash, P. Quesada, A. Desoky, "Comparison of Wavelet-Based and Traditional Noise Removal Techniques", Gait and Biomechanics Laboratory, University of Louisville. August, 1998.
4. G. Cristobal, M. Chagoyen, B. Escalante, and J. Lopez, "Wavelets Based Denoising Methods: A Comparative Study with Applications in Microscopy", Universidad Autónoma de Madrid-UNAM, 1996.
5. F. Hess, M. Kraft, M. Richter, and H. Bockhorn, "Comparison and Assessment of Various Wavelet and Wavelet Packet based Denoising Algorithms for Noisy Data", Universität Kaiserslautern, 1997.
6. R. Öktem, L. Yaroslavsky, K. Egiazarian, and J. Astola, "Transform Based Denoising Algorithms: Comparative Study", Tampere University of Technology. Finland. 1999.
7. R. Sathish, V. Anand, "Wavelet Denoising for Plane Wave DOA Estimation by MUSIC", IEEE Conference Tencon 2003. Bangalore, INDIA, October, 2003.
8. C. Taswell, "The What, How and Why of Wavelet Shrinkage Denoising", Computing in Science & Engineering, June 2000.
9. D. Donoho, I. M. Johnstone, "Ideal Spatial Adaptation by Wavelet Shrinkage", Department of Statistics, Stanford University, USA. April 1993.
10. I. Daubechies, Ten Lectures on Wavelets, New York: SIAM, 1992.
11. S. G. Mallat, A Wavelet Tour of Signal Processing, Academic Press, 2nd Edition, 1999.
12. S. G. Mallat S. G., A Theory of Multiresolution Signal Decomposition: The Wavelet Representation, IEEE Transactions on Pattern Analysis and Machine Intelligence, July 1989, 11(7), pp. 674-693.
13. B. Antoniadis and Sapatinas, "Wavelet Estimators in Non-parametric Regression: A Comparative Simulation Study", Laboratoire IMAG-LMC, University Joseph Fourier, France, 2001.
14. M. Jansen, A. Bultheel, "Asymptotic Behavior of The Minimum Mean Squared Error Threshold for Noisy Wavelet Coefficients of Piece-wise Smooth Signals", Katholieke Universiteit Leuven, Department of Computer Science, Belgium, October 4, 1999.
15. The Math Works, Inc. "Wavelet Toolbox. Matlab: The Language of the Technical Computing". Version 6.0.0.88, Release 12, September 22, 2000.
16. S. Sardy, A. Antoniadis, and P. Tseng, "Automatic Smoothing with Wavelets for a Wide Class of Distributions", Journal of Computational and Graphical Statistics, January 2003.
17. M. Hernandez-Diaz, Analisis Comparativo de Algoritmos para Reducción de Ruido en Señales Utilizando Wavelets, BSc Thesis, Department of Electrical and Electronic Engineering, Universidad de las Américas, Puebla, MEXICO 2003.