Home   >   CSC-OpenAccess Library   >    Manuscript Information
Full Text Available

(136.98KB)
This is an Open Access publication published under CSC-OpenAccess Policy.
Publications from CSC-OpenAccess Library are being accessed from over 74 countries worldwide.
Time Domain Signal Analysis Using Modified Haar and Modified Daubechies Wavelet Transform
Daljeet Kaur Khanduja, M.Y.Gokhale
Pages - 161 - 174     |    Revised - 30-06-2010     |    Published - 10-08-2010
Volume - 4   Issue - 3    |    Publication Date - July 2010  Table of Contents
MORE INFORMATION
KEYWORDS
modified Haar , modified Daubechies, analysis
ABSTRACT
In this paper, time signal analysis and synthesis based on modified Haar and modified Daubechies wavelet transform is proposed. The optimal results for both analysis and synthesis for time domain signals were obtained with the use of the modified Haar and modified Daubechies wavelet transforms. This paper evaluates the quality of filtering using the modified Haar and modified Daubechies wavelet transform. Analysis and synthesis of the time signals is performed for 10 samples and the signal to noise ratio (SNR) of around 25-40 dB is obtained for modified Haar and 24-32 dB for modified Daubechies wavelet. We have observed that as compared to standard Haar and standard Daubechies mother wavelet our proposed method gives better signal quality, which is good for time varying signals.
CITED BY (1)  
1 Manifar, S. (2012). Arm Movements Effects in Response to Posture Instability (Doctoral dissertation, M. Sc. Thesis, Ryerson University, Toronto, Ontario, Canada).
1 Google Scholar 
2 Academic Index 
3 CiteSeerX 
4 refSeek 
5 iSEEK 
6 Socol@r  
7 Scribd 
8 SlideShare 
9 PDFCAST 
10 PdfSR 
1 Daubechies. Ten Lectures on Wavelets. Capital City Press, Montpelier, Vermont, 1992.
2 F. Abramovich, T. Bailey, and T. Sapatinas.Wavelet analysis and its statistical applications. JRSSD, (48):1–30, 2000.
3 Ali, M., 2003.Fast Discrete Wavelet Transformation Using FPGAs and Distributed Arithmetic. International Journal of Applied Science and Engineering, 1, 2: 160-171.
4 Riol, O. and Vetterli, M. 1991 Wavelets and signal processing. IEEE Signal Processing Magazine, 8, 4: 14-38.
5 Beylkin, G., Coifman, R., and Rokhlin,V. 1992.Wavelets in Numerical Analysis in Wavelets and Their Applications. New York: Jones and Bartlett, 181-210.
6 Field, D. J. 1999.Wavelets, vision and the statistics of natural scenes. Philosophical Transactions of the Royal Society: Mathematical, Physical and Engineering Sciences, 357, 1760: 2527-2542.
7 Antonini, M., Barlaud, M., Mathieu, P., and Daubechies, I.1992.Image coding using wavelet transform.IEEE Transactions on Image Processing, 1, 2: 205-220.
8 Kronland-Martinet R. MJAGA.Analysis of sound patterns through wavelet transforms. International Journal of Pattern Recognition and Artificial Intelligence, Vol. 1(2) (1987): pp. 237-301.
9 Mallat S.G. A wavelet tour of signal processing. Academic Press, 1999.
10 Grossman A. MJ. Decomposition of hardy into square integrable wavelets of constant shape. SIAM J. Math. Anal. (1984) 15: pp. 723-736.
11 Kadambe S. FBG. Application of the wavelet transform for pitch detection of speech signals. IEEE Transactions on Information Theory (1992) 38, no 2: pp. 917-924.
12 Lang W.C. FK. Time-frequency analysis with the continuous wavelet transforms. Am. J. Phys. (1998) 66(9): pp. 794-797.
13 . I. Daubechies. Orthonormal bases of compactly support wavelets. Comm. Pure Applied Mathematics, 41:909–996, 1988.
14 K.P. Soman, K.I. Ramachandran, “Insight into Wavelets from Theory to Practice”, Second Edition, PHI, 2005.
Miss Daljeet Kaur Khanduja
Sinhgad Academy of Engineering, Kondhwa, Pune48 - India
Dr. M.Y.Gokhale
Maharashtra Institute of Technology, Kothrud, Pune 38 - India
mukundyg@yahoo.com