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The Find toolbar is loaded by default when you open Acrobat. There s no real need to open the toolbar in the More Tools window if the toolbar is not present in the Toolbar Well. The toolbar automatically opens when you select a menu command or keyboard shortcut to use the Find feature. The Search window opens from a menu command; therefore, no special tool arrangement is needed when searching PDF documents. For searching PDF documents you may want to load the Search tool. By default the tool is not loaded in the File toolbar. Open a context menu on the Toolbar Well and select More Tools. In the More Tools window, scroll down the File toolbar and check the box adjacent to the Search tool. Click OK and the Search tool is loaded in the File toolbar.

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399 SC Douglas and A Cichocki On-line step size selection for training adaptive systems IEEE Signal Processing Mag, 14(6):45 46, November 1997 400 SC Douglas and A Cichocki Adaptive step size techniques for decorrelation and blind source separation In Proc 32nd Asilomar Conference on Signals, Systems, and Computers, volume 2, pages 1191 1195, Paci c Grove, CA, November 1998 401 SC Douglas, A Cichocki, and S Amari Fast-convergence ltered-regressor algorithms for blind equalisation Electronics Letters, 32(23):2114 2115, 7th November 1996 402 SC Douglas, A Cichocki, and S Amari Multichannel blind separation and deconvolution of sources with arbitrary distributions In Proc IEEE Workshop on Neural Networks for Signal Processing, pages 436 445, Almelia Island Plantation, FL, September 1997 403 SC Douglas, A Cichocki, and S Amari Quasi-Newton ltered-regressor algorithms for adaptive equalization and deconvolution In Proc.

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Instead of opening a PDF file through the File Open command, you can use File Place to add a PDF to an open Photoshop document. Placing PDFs in all versions of Photoshop prior to CS2 rasterized the placed file. In Photoshop CS2, placed PDF files retain all vector attributes. When you select Place, the Place PDF dialog box opens, as shown in Figure 9.5. FIGURE 9.5

IEEE Workshop on Signal Processing Advances in Wireless Communications, pages 109 112, Paris, France, April 1997 404 SC Douglas, A Cichocki, and S Amari A bias removal technique for blind source separation with noisy measurements Electronics Letters, 34(14):1379 1380, July 1998 405 SC Douglas, A Cichocki, and S Amari Self-whitening algorithms for adaptive equalization and deconvolution IEEE Trans Signal Processing, 47(4):1161 1165, April 1999 406 SC Douglas and S Haykin On the relationship between blind deconvolution and blind source separation In Proc 31st Asilomar Conference on Signals, Systems, and Computers, volume 2, pages 1591 1595, Paci c Grove, CA, November 1997 407 SC Douglas and S Haykin Relationships between blind deconvolution and blind source separation In S Haykin, editor, Unsupervised Adaptive Filtering, Vol II: Blind Deconvolution, pages 113 145 Wiley, New York, 2000 408 SC Douglas and S-Y Kung.

tones of the various color information in your image. By default, Camera Raw sets those tones to an auto balance, hoping for the best mix to begin with. This is a good place to start, so I recommend leaving this setting checked.

where the symbol k = d / c = stands for the wave number. One can obtain the same result from the time-harmonic Maxwell's equations (7.62): With (7.61), (7.7) and e = 0 Gauss' law for electricity (7.5) reduces to

Design of estimation/de ation approaches to independent component analysis In Proc 32nd Asilomar Conference on Signals, Systems, and Computers, volume 1, pages 707 711, Paci c Grove, CA, November 1998 409 SC Douglas and S-Y Kung All-pass vs unit-norm constraints in contrast-based blind deconvolution In Proc IEEE Workshop on Neural Networks for Signal Processing, Madison, WI, August 1999 410 SC Douglas and S-Y Kung Gradient adaptive algorithms for contrast-based blind deconvolution Journal of VLSI Signal Processing Systems, 1999 411 SC Douglas and S-Y Kung An ordered-rotation kuicnet algorithm for separating arbitrarilydistributed sources In Proc IEEE International Conference on Independent Component Analysis and Signal Separation, pages 419 425, Aussois, France, January 1999 412 SC Douglas, S-Y Kung, and S Amari A self-stabilized minor subspace rule IEEE Signal Processing Letters, 5(12):328 330, December 1998 413 SC Douglas, S-Y Kung, and S Amari.

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On the numerical stabilities of principal, minor, and independent component analysis algorithms In Proc IEEE International Conference on Independent Component Analysis and Signal Separation, pages 419 425, Aussois, France, January 1999 414 SC Douglas, S-Y Kung, and S Amari A self-stabilized minor subspace rule Signal Processing Letter, 5:328 330, Dec 1998 415 SC Douglas and SY Kung Kuicnet algorithms for blind deconvolution In Proc IEEE Workshop on Neural Networks for Signal Processing, pages 3 12, Cambridge, UK, August 1998..

Cone: Drags or slides the object along the plane represented by the arrow. Arc: Rotates or rolls the object around the specified axis. Cube: Scales the object. Because you are using only one plane, the object isn t scaled proportionately.

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