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the lengths of c1 and c2 are half the lengths of c1 and c2 , respectively, and the resulting overall rate becomes Rc = 1/2. Puncturing is not usually applied to the message (systematic) bits, because this causes a BER performance loss. There are two important components of a turbo encoder whose parameters have a major in uence on the BER performance of a turbo code: the rst is the interleaver, especially its length and structure, and the second is the use of RSC IIR FSSMs as constituent encoders [2, 3]. The excellent BER performance of these codes is enhanced when the length of the interleaver is signi cantly large, but also important is its pseudo-random nature. The interleaving block, and its corresponding de-interleaver in the decoder, does not much increase the complexity of a turbo scheme, but it does introduce a signi cant delay in the system, which in some cases can be a strong drawback, depending on the application. The RSC-generated convolutional codes are comparatively simple, but offer excellent performance when iteratively decoded using soft-input soft-output algorithms.

the system. All generated information included in the user interaction will go to the Resource Handling block. The Resource Handling component controls the Modality Function data ow, requests data from the external context sources and routes the application output to the output components. The behaviour of the Resource Handling component is based on the user interaction model generated by the Fusion component and the requests of the application. The application will provide the content that should be delivered through the output part of the Modality Function. Output requests will be routed towards the Fission component. The decisions made by the Fission component leads to the choice of which device should be used for media output; that, in turn, could depend on certain user preferences, the user s situation, available devices and the desirable format of the content. The Fission component implements the logic and the appropriate algorithms for the decision on how media output requests from a potential multimodal application will be delivered to the available output modalities. Information about available devices, content transformers as managed from the device and content handling components, is taken into account along with context information requested from the Personal Context Function. The last part of the decision process is the transformation of media data from the source format into a requested target format (e.g. text to speech), as well as splitting of the media data if required, adaptation of the media presentation and delivery of this media content to the Content Routing component. As the last step, the Content Routing component does the physical coupling of adapted output towards the corresponding device agents.

5

To get a feel for the event generation process, you might find it helpful to see a list of events that get generated as you go about your work. The companion CD-ROM contains a workbook that displays each Applicationlevel event as it occurs. Actually, there are two versions of this workbook. The version for Excel 2000 and later displays the events in a modeless UserForm, as shown in Figure 19-8. The version for Excel 97 displays each event in a message box (Excel 97 does not support modeless UserForms).

The design of a ber optic communication link involves several steps. Certainly the rst consideration is to determine the feasibility of such a transmission system for a desired application. There are two aspects of this decision: (1) economic and (2) technical. Can we get equal or better performance for less money using some other transmission medium such as wire pair, coaxial cable, LOS microwave, and so on Fiber optic communication links have wide application. Analog applications for cable television (CATV) trunks are showing particularly rapid growth. Fiber is also used for low-level signal transmission in radio systems, such as for long runs of IF, and even for RF. However, in this text we stress digital applications, some of which are listed below:

1.85 1.82 1.70 1.70 1.70 1.69 1.55 1.44 1.32 1.32 1.31

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