Biomedical Engineering Reference
In-Depth Information
[24] Bastiaans, M., A sampling theorem for the complex spectrogram and
Gabor's expansion of a signal in Gaussian elementary signals, Opt.
Eng., Vol. 20, No. 4, pp. 594-598, 1981.
[25] Porat, M. and Zeevi, Y., The generalized Gabor scheme of image repre-
sentation in biological and machine vision, IEEE Trans. Pattern Anal.
Mach. Intell., Vol. 10, No. 4, pp. 452-468, 1988.
[26] Hubel, D. and Wiesel, T., Receptive fields, binocular interaction and
functional architecture in the cat's visual cortex, J. Physiol., Vol. 160,
pp. 106-154, 1962.
[27] Daugman, J., Complete discrete 2-D Gabor transforms by neural net-
works for image analysis and compression, IEEE Trans. Acoust.,
Speech, Signal Process., Vol. 36, No. 7, pp. 1169-1179, 1988.
[28] Porat, M. and Zeevi, Y., Localized texture processing in vision: Analysis
and synthesis in the Gaborian space, IEEE Trans. Biomed. Eng., Vol. 36,
No. 1, pp. 115-129, 1989.
[29] Coifman, R. R., Meyer, Y., and Wickerhauser, M. V., Wavelet Analysis
and signal processing, In: Wavelets and Their Applications, B. Ruskai,
Ed., Jones and Barlett, Boston, pp. 153-178, 1992.
[30] Coifman, R. R. and Woog, L. J., Adapted waveform analysis, wavelet
packets, and local cosine libraries as a tool for image processing, In: In-
vestigative and Trial Image Processing, San Diego, CA, Vol. 2567, 1995.
[31] Malvar, H., Lapped transforms for efficient transform/subband cod-
ing, IEEE Trans. Acoust. Sign. Speech Process., Vol. 38, pp. 969-978,
1990.
[32] Donoho, D. L. and Johnstone, I. M., Ideal de-noising in an orthonormal
basis chosen from a library of bases, Statistics Department, Stanford
University, Technical Report, 1994.
[33] Donoho, D., De-noising by soft-thresholding, IEEE Trans. Inf. Theory,
Vol. 41, No. 3, pp. 613-627, 1995.
[34] Gao, H. and Bruce, A., Waveshrink with firm shrinkage, Statist. Sinica,
Vol. 7, pp. 855-874, 1997.
