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Direction nding in correlated noise elds based on joint block-diagonalization of spatio-temporal correlation matrices IEEE Signal Processing Letters, 4(9), September 1997 89 A Belouchrani and J-F Cardoso Maximum likelihood source separation for discrete sources In Signal Processing VII: Theories and Applications (Proc of the EUSIPCO-94), pages 768 771, Edinburgh, Scotland, Sept 13-16 1994 Elsevier 90 A Belouchrani and A Cichocki Robust whitening procedure in blind source separation context Electronics Letters, 36(24):2050 2053, 2000 91 A Belouchrani, A Cichocki, and K Abed-Meraim A blind identi cation and separation technique via multi-layer neural networks In S Amari, L Xu, L-W Chan, I King, and K-S Leung, editors, Progress in Neural Information Processing Proceedings of the International Conference on Neural Information Processing, pages 1195 1200 vol2, Hong Kong, 1996 Springer-Verlag 92 A Belouchrani, K K Abed-Meraim, J-F Cardoso, and E Moulines Second-order blind separation of correlated sources.

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In Proc Int Conference on Digital Sig Processing, pages 346 351, Cyprus, 1993 93 J Benesty and P Duhamel A fast constant modulus adaptive algorithm In L Torres, E Masgrau, and MA Lagunas, editors, Signal Processing V Theories and Applications Proceedings of EUSIPCO-90, Fifth European Signal Processing Conference, pages 241 244 vol1, Barcelona, Spain, 18-21 Sept 1990, 1990 Elsevier 94 J Benesty and P Duhamel Fast constant modulus adaptive algorithm IEE Proceedings F (Radar and Signal Processing), 138(4):379 387, August 1991 95 SE Bensley and B Aazhang Subspace-based channel estimation for code division multiple access communication systems IEEE Tran Communication, 44(8):1009 1020, August 1996 96 A Benveniste and M Goursat Blind equalizers IEEE Trans Communications, 32(8):871 883, 1984 97 A Benveniste, M Goursat, and G Ruget Robust identi cation of a non-minimum phase system: Blind adjustment of a linear equalizer in data communications IEEE Trans.

n Behind (Q): This mode is applicable exclusively to layers with transparency When Behind is selected, the paint tools apply color behind the image on the active layer, showing through only in the transparent and translucent areas n Clear (R): When working on a layer other than Background, the Clear mode turns the Brush, Pencil, or Paint Bucket into an erasing tool, clearing away pixels Given that the Eraser tool already emulates the behavior of both the Brush and Pencil tools (as explained in 7), there s not much reason to use Clear mode with either of these tools However, it creates a unique effect when combined with the Paint Bucket, as explained in 6 n Darken (K): The first of the four darkening modes, Darken applies a new color to a pixel only if that color is darker than the pixel s present color.

Automatic Contr, AC-25, no 3:385 399, June 1980 98 N Benvenuto and TW Goeddel Classi cation of voiceband data signals using the constellation magnitude IEEE Trans Communications, 43(11):2759 2770, November 1995..

Otherwise, the pixel is left unchanged The mode works on a channel-by-channel basis, so it may change a pixel in the green channel, for example, without changing the pixel in the red or blue channel For more information on channels, see 4 n Multiply (M): The Multiply mode combines the foreground color with an existing color in an image to create a third color, darker than the other two Using the multiply analogy, cyan times magenta is blue, magenta times yellow is red, yellow times cyan is green, and so on Discussed in 4, this is the subtractive (CMYK) color theory at work The effect is almost exactly like drawing with felt-tip markers, except the colors don t bleed The second example in Figure 532 shows the Multiply mode in action.

where z1= -1, 2 2 = 0, and 2 3 = 1. The reader can easily verify that the delta property (A.6) indeed holds true. Now, since B' = {fl,f 2 , f 3 } is a basis in V ' , any linear form in V' can be expressed uniquely in terms of the basis functions f l , f 2 , f3. Let us try, for example, the linear form A E V' associated with the integral