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The AutoCAD 2010 & AutoCAD LT 2010 Bible covers all of the essential features of AutoCAD and AutoCAD LT and includes clear, real-life examples and tutorials that you can adapt to your needs. Although I fully cover the basics, I have also included material on the many advanced features, such as AutoLISP, 3D modeling, rendering, and customization. (Most of the advanced features apply to AutoCAD only.) The following categories should help you decide whether this book is for you.

respect to the received vector. Thus, the decision could fortuitously be in favour of the true code vector or not depending on when the iteration of the algorithm is truncated. This simple example shows the difference in decoding complexity between the BCJR algorithm and the ML Viterbi algorithm. In Example 7.3 it will be however evident that in spite of this higher complexity, the MAP BCJR decoding algorithm has a very ef cient error-correction capability when it is involved in iterative decoding algorithms. In this sense, it can be said that the use of the MAP BCJR algorithm in the constituent decoders of an iterative turbo decoding scheme is much less complex than the use of the Viterbi decoding algorithm applied over the trellis of the complete turbo code, which will be very complex, especially for large-size interleavers.

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Now that the brightness, contrast, and color are looking good, we need to do something about the converging vertical lines. But before we can straighten anything, we need to know just exactly what straight is. We ll find that out by establishing some straight guide lines, known as Guides.

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If you have multiple files that need to be refined for distribution on network servers, Web sites, or CD-ROM, then you ll want to create a batch sequence. Batch sequences are a defined series of commands in a specific order that can be run on multiple files. You create the batch sequence from a list of executable functions and determine the commands and order of the sequence. Batch sequences help you automate tasks in Acrobat that might otherwise take considerable time, such as manually applying a common set of commands on many different files. After you develop one or more sequences, you can run the sequence(s) on selected PDF files, a folder of PDF files, or multiple folders of PDF files. Tasks such as setting opening views of PDF documents, adding document descriptions, adding page numbers, or running the PDF Optimizer can be applied to multiple files you might want to distribute on CD-ROM or on Web sites. Before distributing files, you can run a batch sequence as a final step in your production workflow to be sure all files have common attributes.

n,,j = hidden RBF nodes derived from n,,f = ML+' scalar centresgiven is in Table 10.2. Comparing Table 10.1 and 10.2, we observe a substantial computational comm, plexity reduction, especially for a high feedforward ordersince n,,f < n,,J,if m - n < 1. For example, for the 16-QAM mode we have n,,f = 256 and n,j = 256 for the RBF DFE by equalizer parameters of m = 2, n = 1 and 7 = 1. The total complexity reduction is a factor of about 1.3. If we increase the RBF DFE feedforward order and use the equalizer parameters of m = 3, R = 1 and 7 = 2 - which gives a better BER performance - then we is have n,,f = 256 and n,,j = 4096 - and the total complexity reduction by a factorof about 2. l . The computational complexity can further reducedby neglecting the RBF scalar cenbe tres situated far from the received signalUk, since the contribution of RBF scalar centres T I to the decision function is inversely related to their distance from the received signal k , as U recognised by Patra [287].

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