Optical Wavelet Transform Using Computer-Generated Wavelet Matched Filter

[in Chinese]; [in Chinese]; [in Chinese]

[1] S. Mallat. A theory for multiresolution signal decomposition: the wavelet representation. IEEE Trans. Pattern Anal. Mach. Intell., 1989, 11(7): 674～693

[2] O. Rioul, M. Vetterli. Wavelets and signal processing. IEEE Signal Proc. Mag., 1991, 8(4): 14～38

[3] M. O. Freeman. Wavelets, signal representations with important advantages. Opt. Photon. News, 1993, 4(8): 8～14

[4] R. Wilson, A. D. Calway, E. R. S. Pearson. A generalized wavelet transform for Fourier analysis: the multiresoulution Fourier transform and its application to image and audio signal analysis. IEEE Trans. Inf. Theory, 1992, IT-38(7): 674～690

[5] J. Daugman. Complete discrete 2-D Gabor transforms by neural networks for image analysis and compression. IEEE Trans. Acoust. Speech Signal Process, 1988, 36(11): 1169～1179

[6] Special section on wavelet transforms. Opt. Eng., 1992, 31(9): 1823～1916

[7] Special Section on applications of limited-extentwaves. Appl. Opt., 1994, 33(23): 5239～5307

[8] H. Szu, H. J. Caulfield. Wavelet transform. Opt. Engng., 1991, 31(9): 1823～1824

[10] Y. Sheng, T. Lu, D. Roberge, H. J. Caulfield. Optical N4 implementation of a two-dimensional wavelet transform. Opt. Eng., 1992, 31(9): 1859～1864

[11] I. Ouzieli, D. Mendlovic. Two-dimensional wavelet processor. Appl. Opt., 1996, 35(29): 5839～5846