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HSDPA/HSUPA for UMTS: High Speed Radio Access for Mobile Communications Edited by Harri Holma and Antti Toskala 2006 John Wiley & Sons, Ltd. ISBN: 0-470-01884-4

though effective with a range of psychological problems, has de-emphasised the role of schemata and often fails to generate suf cient understanding of complex, chronic and characterological problems. Fortunately, by the late 1980s, the aetiological factors in the development of persistent dysfunctional beliefs and schemata were made more explicit by cognitive therapists, and the role of those factors in the maintenance of problems was re ned (Beck et al., 1990; Young, 1994). This development has helped us to understand the persistence and complexity of certain psychological problems.

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As mentioned at the beginning of this chapter, patent infringement litigation presents an exceedingly large number of risks, some of which are common to all litigation, while others are peculiar to patent matters. The patent-specific issues relate to the questions of patent validity, patent enforceability, and patent infringement, and to damages calculation. These questions, and some of the subissues of which they are comprised, are set forth in the following list. How likely is it that the patent will be found to be Invalid due to

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early years at least alongside other technologies from GSM to evolved 2.5G systems like GPRS and EDGE Popular speculation among some observers is that operators have overcommitted to UMTS without a clear roadmap to pro tability. But while such cynicism may be fashionable, a growing voice from many quarters of the industry suggests that this viewpoint is an incorrect one.

Hamming distance was originally conceived for detection and correction of errors in digital communication [10]. It is simply de ned as the number of bits that are different between two bit vectors. For example, d 0; 1 1; d 001; 011 1; d 000; 111 3; d 111; 111 0. In the eld of arti cial intelligence, there is often a need to search through large state spaces. Therefore, a prede ned state space metric would be very useful to guide the search, and this metric is usually referred to as the Hamming distance. In the context of case-based reasoning, an evaluation function (or an algorithm) is used to compute the Hamming distance between a query case and the cases in the case library. The case that has the minimum Hamming distance is selected as the most similar case to the query case. In many applications, the Hamming distance is represented by a state-space graph, and the computation of the distance involves algorithms that traverse the arcs and nodes of this graph. Levenshtein distance is a measure of the similarity between two strings and is de ned as the number of deletions, insertions, or substitutions required to transform the source string into the target string. The Levenshtein distance is also called the edit distance. Each transformation is associated with a cost, and the objective is to nd the cheapest way to transform one string into another. There are many possible applications of Levenshtein distance, for example, it could be used in measuring errors in text entry tasks [11] as well as for comparing sequences.

Launch power during slot not assigned to this ONU: Less than 0.1 of 1 bit level. Worst-case downstream receiver sensitivity/minimum receiver overload at 622 Mb/s in dBm: Class B Class C 28= 6 33= 11

Turbo encoder Systematic Parity 1 Parity 2 Rate matching (puncturing) Original transmission Systematic Parity 1 Parity 2 Incremental redundancy combining (at receiver side) Systematic Parity 1 Parity 2

There is no direct method of correlating the standards of proof in criminal and civil cases to the varying degrees of certainty which scientists and other experts ascribe to their ndings. The criminal standard is susceptible of no precise mathematical description, such as 99% probability, and although the civil standard can be meaningfully described as 51% probability this is often dif cult to translate into terms equivalent to those of scienti c results or estimates.

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