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FIGURE 15.18 After a master layered file has been saved, the image can be cropped to its final size. This is the cropping I chose. Try to make yours similar to it.

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In this section a comparative performance study JD-CDMA, SIC-CDMA and PIC-CDMA of systems is provided the contextof AQAM transmissions. The switching criterion employed in was the SINR at the output of the respective multiuser receivers. For JD-CDMA, the SINR was estimated by employing the SINR expression given by Klein et al. [208], whilst for the SIC and PIC receivers the SINR expression presented byPatel and Holtzman [363] was adopted. For the SIC and PIC receivers, the RAKE receiver was used to provide the initial data estimates required for the subsequent cancellation stages. The rest of the simulation parameters are summarized in Table 12.2. In our investigations the COST 207 [423]channel models developed for the Global System of Mobile Communications known as GSM were employed. Although due to the orthogonal spreading sequences and due to the resultant high

clearly what you hope to achieve through cloud computing, what business challenges cloud potentially applies to, and what business challenges are not in cloud s scope. Understand various cloud computing patterns and the implications of implementing cloud computing for target business requirements in your enterprise. Understand the relationship of SOA patterns to cloud computing patterns, and how they might reinforce one another. Be clear on the desired business and nancial bene ts you are seeking; operationalize the cloud and SOA tactics you will implement to achieve those value propositions. Understand that SOA and cloud computing, together, offer the Agility Double Play to your enterprise. SOA and cloud computing are not mutually exclusive efforts. SOA brings enterprise value that cloud computing efforts do not deliver. Be sure that the value you seek is being delivered by an appropriate paradigm SOA and/or cloud computing. The Agility Double Play is achieved through a unique implementation of both SOA and cloud computing. Enterprise agility can come from iterative implementations of SOA and cloud computing, based on the various SOA patterns and cloud computing patterns we have documented.

(Nonequivalent norms and open and closed sets)