References
[1]. Candes, Emmanuel, et al., (2006). "Fast discrete
curvelet transforms". Multiscale Modeling & Simulation 5.3
pp.861-899.
[2]. Qinghua Zhang and Albert Benveniste, (1992).
“Wavelet Networks”. IEEE Transactions On Neural Networks,
Vol. 3, No. 6, pp.889-898.
[3]. Skander Soltani, (2002). “On the use of the wavelet decompostion for time series prediction”. on
Neurocomputing - IJON, Vol. 48, No. 1-4, pp. 267-277.
[4]. Nason, Guy P., and Bernard W. Silverman, (1995). "The
stationary wavelet transform and some statistical
applications". Lecture Notes in Statistics-New York-Springer
Verlag, pp.281-281.
[5]. Heil, Christopher E., and David F. Walnut, (1989).
"Continuous and discrete wavelet transforms". SIAM
Review, Vol.31, No.4, pp.628-666.
[6]. Rioul, Olivier, and Martin Vetterli, (1991). “Wavelets and
signal processing”. IEEE Signal Processing Magazine,
pp.14-38.
[7]. Peng, Z. K., and F. L. Chu., (2004). "Application of the
wavelet transform in machine condition monitoring and
fault diagnostics: a review with bibliography". Mechanical
Systems and Signal Processing, Vol.18, No.2, pp.199-221.
[8]. Chui, Charles K., (1992). “An Introduction to wavelets”.
Academic Press, New York, Boston, Philadelphia: Society for
Industrial and Applied Mathematics (SIAM).
[9]. Pinnegar, C. Robert, and Lalu Mansinha, (2003). "The Stransform
with windows of arbitrary and varying shape".
Geophysics, Vol.68, No.1, pp.381-385.
