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PlayingField is a Canvas. It implements Runnable so that we can have a separate thread for the animation, and CommandListener so that we can add Go and Back Command objects (menu entries) to the display. We also de ne a few constants, including some basic colors. xDelta is the amount we move the puck on each frame (+1 or 1 pixel). xMax is the playing width, the distance the puck moves. paintCount is the number of times paint() is called in order to redisplay the puck in a new position (ignoring paint() requests when part of the screen has been obscured). paintCount should be the same as the number of moves we request; if not, we know we have dropped a frame.
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, the number of their vanishing moments, which both controls decorrelation properties of the coef cients and increases the robustness of the analysis with respect to trends), as well as with fast pyramidal ( lter-bank) implementations, which give rise to computationally ef cient schems for analysis and synthesis Generally speaking, using wavelets when dealing with scaling processes is in some sense ``natural,'' because of the structural af nity that exists between the mathematical framework they offer (multiresolution) and the physical nature (scaling) of the processes under study Regarding directions for future work, a number of important and active areas have already been referred to in the text.
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These include the need to be able to objectively and automatically determine the range of scales for a given scaling phenomenon, how to judge if scaling exponents are constant or not in time, and how to generate accurately in a wavelet framework more exible classes of scaling processes Looking further a eld, from the particular perspective of teletraf c research, an avenue that is as yet quite unexplored is that of going beyond merely describing scaling traf c processes, to instead de ning entire queueing systems with scaling traf c input, reexpressed and hopefully resolved in a wavelet world ACKNOWLEDGEMENTS P Abry and P Flandrin were partially supported by the CNRS grant TL 97035, Programme Telecommunications M S Taqqu was partially supported by the NSF grant DMS-94044093 and ANI-9805623 at Boston University REFERENCES.
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How to use Tesseract OCR . The first step is to download the Tess4J API from the link. Extract the Files from the downloaded file. Open your IDE and make a new project. Link the jar file with your project. Refer this link . Please migrate via this path “..\Tess4J-3.4.8-src\Tess4J\dist”.
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