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Applications of Stockwell Transform in Signal/Image Analysis - A Review
Abstract
With the need for highly accurate computer aided
analysis, extensive research is carried out in the development of effective feature extraction methods. Through spatial, frequency and wavelet based approaches provide better results, they suffer fromcertain limitations especially during local frequency amplitude analysis. Hence the paradigm has shifted to Stockwell transform thatcombines a frequency dependent resolution of the time-frequency in addition to providing the relationship between time and frequency, Stockwell transform also gives information about phase. Moreover S-Transform is also sensitive to noise. This paper provides a extensive survey on the application of S-Transform for signal an image analysis. From the survey it is found that S-Transform provides better results when compared to conventional denoising and feature extraction algorithm
Keywords
References
Stockwell, R. G., “A basis for efficient representation of the S-transform,”
Digital Signal Processing 17, 371–393 (January 2007).
Pinnegar, C. R., and D. W. Eaton, Application of the S transform to
prestack noise attenuation filtering, J. Geophys. Res.,108(B9), 2422,
doi:10.1029/2002JB002258, 2003.[3] Stefano Parolai., Denoising of Seismograms Using the S Transform.
Bulletin of the Seismological Society of America, Vol. 99, No. 1, pp.
–234, February 2009
Y. Wang and J. Orchard, Fast Discrete OrthonormalStockwell Transform,
SIAM. J. Science Computation,31(5):4000-4012, 2009
Pakrashi, V., and B. Ghosh, “Application of S Transform in Structural
Health Monitoring,” NDTCE’09, Non-Destructive Testing in Civil
Engineering, Nantes, France, 2009
Y. Portnyagin, E. Merzlyakov, C. Jacobi, N. Mitchell, H. Muller, A.
Manson, W. Singer, P. Hoffmann, A. Fachrutdinova, Some results of
Stransform analysis of the transient planetary-scale wind oscillations in
the lower thermosphere, Earth Planets Space 51 (7–8) (1999) 711–717.
Assous, S.; Humeau, A.; Tartas, M.; Abraham, P.; Jean-Pierre
L'Huillier; S-Transform Applied to Laser Doppler Flowmetry Reactive
Hyperemia Signals,IEEE TRANSACTIONS ON BIOMEDICAL
ENGINEERING, VOL. 53, NO. 6, JUNE 2006
Saraç, Zehra,Analysis of white-light interferograms by using Stockwell
transform, Optics and Lasers in Engineering, v. 46, p. 823-828.
Mohammad Javad Dehghani, Comparison of S-transform and Wavelet
Transform in Power Quality Analysis, World Academy of Science,
Engineering and Technology 50 2009
Todor I. Todorov, Variable-factor S-transform for time-frequency
decomposition, deconvolution, and noise attenuation, GeoCanada 2010 –
Working with the Earth.
C. Venkatesh, D.V.S.S. Siva Sarma, M. Sydulu, Wavelet and S-transform
Based Multilayer and Modular Neural Networks for Classification of
Power Quality Disturbances, 16th NATIONAL POWER SYSTEMS
CONFERENCE, 15th-17th DECEMBER, 2010.
L. Mansinha, R. G. Stockwell, R. P. Lowe , Pattern Analysis with Two
Dimensional Spectral Localisation: Applications of 2 Dimensional S
Transforms,
Yanwei Wang; Orchard, J.; The discrete orthonormal Stockwell
transform for image restoration Image Processing (ICIP), 2009 16th IEEE
International Conference 7-10 Nov. 2009 On page(s): 2761 - 2764 ISSN:
-4880 E-ISBN: 978-1-4244-5655-0 Print ISBN: 978-1-4244-5653-6
Gunamani Jena Baliarsingh, R. Jena, S.K. Prasad, G.M.V. , Advanced
Computing and Communications, 2006. ADCOM 2006. International
Conference, 20-23 Dec. 2006 On page(s): 618 - 619 Print ISBN:
-4244-0716-8
Yanwei Wang and Jeff Orchard, “On the use of theStockwell transform
for image compression,” IS&T/SPIEElectronic Imaging, January 2009, 7
pages, accepted onSeptember 19, 2008.
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