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respect to this vector, so that the decoder cannot correctly decode this error pattern. However soft decisions or estimates for the bits of the received vector might be helpful to the user, and could be iteratively updated to converge to the right solution if they were involved in a turbo decoding scheme with other component codes. Example 7.2: Decode the received vector of Example 7.1 by using the ML Viterbi algorithm, where trellis transitions are assigned the conditional probability values of the channel utilized in that example. The ML Viterbi algorithm can be used for decoding the received vector of the Example 7.1 if the trellis transitions in the corresponding trellis (Figure 7.5) are assigned the transition probabilities for the input elements 1 and 0 of the soft-decision channel used in that example (Figure 7.6). In this way, the decoding algorithm operates as shown in Figure 7.7, where, at time instant t3 , decisions can be already taken, in order to decide which is the survivor path among those that arrive at a given node of the trellis.

where I k is the identity matrix of size k k. For a given convolutional code Cconv (n, 1, K ), it can be shown that its matrix G(D) has an inverse G 1 (D) if and only if [16] HCF G (1) (D), G (2) (D), . . . , G (n) (D) = Dl , l 0 (26)

Handbook of Sensor Networks: Algorithms and Architectures, Edited by Ivan Stojmenovic Copyright # 2005 John Wiley & Sons, Inc.

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1. Read-lock all SI-related data items at SIS sites, read-lock data items for read-only at Ronly sites, and write-lock data items to read and write at RW sites. 2. Read, compute, and generate nal values to write at RW and Wonly sites. 3. Read SI-related data items or ask for the results of validation from SIS sites. 4. If there is a violation, then reject the transaction and unlock by sending messages and terminating the transaction; otherwise, continue to Step 5. 5. Lock at Wonly sites and execute updates/commit for all successful transactions. 6. Unlock at sites for successful transactions and terminate. For this algorithm, we can gure out the locking/unlocking and validation cost by adding up the number of messages generated during each step of the algorithm. The following shows each individual algorithm step s cost: 1. Cost = N * (RW + Ronly + SIS): this is the cost to read-lock SI-related and read-only data items plus the cost to write-lock read and write data items. 2. Cost = None: in this step the control site will perform the necessary computations. 3. Cost = N * SIS: this is the cost of reading the SI data items (or receiving the validation results from the sites that store SI data items). 4. Cost = (N M) * (RW + Ronly + SIS): this is the cost of unlocking read and write, read-only, and SI data items for transactions that have failed the validation. 5. Cost = M * Wonly: this is the cost to write-lock data items that transactions write only. 6. Cost = M * (RW + Ronly + Wonly + SIS): this is the cost of unlocking all locked data items for transactions that have successfully nished.

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When put under the microscope, innumerable differences between MythTV and alternative PVR solutions pop up Only the most distinctive differences are covered here, to help you differentiate among available DVR offerings Apples and oranges are the currency of distinction for a side-by-side comparison of MythTV and the many similar (though entirely different) alternative media center implementations In the case of MythTV, this means only the third-party add-on software; that is, neither operating system nor hardware are included Barring any obvious architectural differences (such as the well-defined client/server architecture underlying the MythTV framework), MythTV is similar to Windows Media Center Edition in that it provides additional support for multimedia playback to an existing platform (such as Linux or Windows) Openly available on the market are complete solutions such as TiVo or ReplayTV, although their continued operation requires periodic subscription fees.

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