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The preceding three examples are all the simplest possible versions of metafiles. All three metafiles are capable of including additional information, such as a title, a start or end time, whether or not to play the file as soon as it s loaded, and many other things. The available parameters vary from format to format. Some of these are useful, but many of them are only used for advanced purposes. For more on metafiles, check out the references on the manufacturers respective Web sites: n Windows Media Player metafile documentation:

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In Proceedings International Workshop on Neural Networks for Identi cation, Control, Robotics, and Signal/Image Processing, pages 174 182, Proceedings of International Workshop on Neural Networks for Identi cation, Control, Robotics and Signal/Image Processing, Venice, Italy, 21-23 Aug 1996, 1996 IEEE Comput Society Press 994 V Radionov and S Mayrargue Semi-blind approach to second order identi cation of SIMOFIR channel driven by nite alphabet sequence In IEEE Int Conference on Dig Signal Processing, volume 1, pages 115 118 IEEE Press, Santorini (Greece), July 1997 995 R Raheli and G Picchi Synchronous and fractionally-spaced blind equalization in duallypolarized digital radio links In Proc IEEE ICC, pages 156 161 vol1, Denver, CO, 1991 996 MG Rahim, B-H Juang, W Chou, and E Buhrke Signal conditioning techniques for robust speech recognition IEEE Signal Processing Letters, 3(4):107 109, April 1996 997 G Raleigh, S Diggavi, V Jones, and A Paulraj.

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The Cube Spin transition uses a spinning 3D cube to create the transition from Clip A to Clip B. In the Cube Spin Settings dialog box, you can set the transition to be from left to right, right to left, top to bottom, or bottom to top. Drag the Border slider to the right to increase the border color between the two video tracks. Click the color swatch if you want to change the border color.

FIGURE 10.18 These images show the effects of combining different Amount and Radius settings. High Amount settings are countered by higher Radius levels, and as the Amount drops to 50 percent with a Radius of 10, the results are subtle, yet effective sharpening all over, without a change in contrast. The Threshold value for each image was set to 0 (the default setting).

Figure B.21 Approximate solution of the micromotor problem. Top: electric potential !pjt .,, (zoom = 1 and 6). Bottom left: detailed view of the singularity of lE,l.,,l= I - Vy,,.F)l a corner of the at electrode (zoom = 1000). Bottom right: Error estimate based on a reference solution (zoom = 1000).

Any decisions that the project team (people) make about the project s stakeholders (also people) are of their very nature subjective; and because the people involved are ever changing, any attempt at a single, objective analysis or reporting is bound to fail Successful stakeholder mapping requires a transparent, dynamic process that builds understanding as the project progresses Project teams must nd ways to not only understand who their stakeholders are at any time in the project, but also what their expectations are, and nally, nd ways to measure the effectiveness of the team s communication efforts Effective mapping systems need simplicity and exibility in both data gathering and reporting about project stakeholders These requirements should be re ected in guided steps through a series of processes that can be cumulative or can be approached in parts, depending on the needs and maturity of the organisation.

A blind adaptive transmit antenna algorithm for wireless communication In Proc IEEE ICC, 1995 998 J Ramos and MD Zoltowski Reduced complexity blind 2D RAKE receiver for CDMA In Proc IEEE SP Workshop on Stat Signal Array Processing, pages 502 505, Corfu, Greece, 1996 999 J Ramos, MD Zoltowski, and H Liu A low-complexity space-time RAKE receiver for DS-CDMA communications IEEE Signal Processing Letters, 4(9):262 265, September 1997 1000 A Ranheim and P Pelin Decoupled blind symbol estimation using an antenna array In Proc IEEE SP Workshop on Stat Signal Array Processing, pages 136 139, Corfu, Greece, 1996 1001 B D Rao and K Kreutz-Delgado Basis selection in the presence of noise In Conference Record of the 32rd Asilomar Conference on Signals, Systems and Computers, pages 752 756, 1998 1002 B D Rao and K Kreutz-Delgado An a ne scaling methodology for best basis selection IEEE Trans Sig.

figure 28.7: Imported text data parses into cells and formats as you specify. It will update from the text file when you click the update icon, or automatically, at timed intervals.

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