[1] Aboufadel, Edward and Schlicker, Steven, "Discovering Wavelets," John Wiley and
Sons, New York, NY,pp.14, 1999.[2] Donoho, D. L. and Johnstone, I. M., "Ideal spatial adaption via wavelet shrinkage,"
Biometrika, vol. 81, pp. 425- 455, 1994.[3] Ghael, Sandeep P., Sayeed, Akbar M., and Baraniuk, Richard G., "Improved Wavelet
Denoising via Empirical Wiener Filtering," Proceedings for SPIE, Mathematical Imaging,
San Diego, July 1997.[4] Jansen, M. and Bultheel, A., "Smoothing Non-Equidistantly Sampled Data using
Wavelets and Cross Validation."[5] Lang, M., Guo, H., Odegard, E., Burrus, C. S., and Wells, R. O., "Nonlinear
processing of a shift variant DWT for noise reduction," paper accepted for the
Proceedings of SPIE, Mathematical Imaging: Wavelet Applications for Dual Use, in
SPIE Symposium on OE/Aerospace Sensing and Dual Use Photonics, 17-21, April
1995 Orlando, FL.[6] Resnikoff, H. and Wells, R., Jr., "Wavelet Analysis: The Scalable Structure of
Information," Springer-Verlag, New York, NY, pp. 365.[7] Sakakibara, S., "A Wavelet-Based Technique for Reducing Noise in Laboratory Data,"
chapter 2 of "Wavelets and their Applications: case studies," edited by Mei Kobayashi,
The Society for Industrial and Applied Mathematics, Philadelphia, PA, pp. 26-42.[8] Walker, J., A primer on Wavelets and their Scientific Application. Chapman and
Hall/CRC, Boca Raton, pp. 18-64, 1999.