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Yet, given the extreme bandwidths involved, digital implementation may lead to prohibitively high costs in terms of power consumption and receiver complexity For example, conventional techniques based on sliding correlators would require very fast and expensive A/D converters (operating in the gigahertz range) and therefore high power consumption Furthermore, implementation of such techniques in digital systems would have almost unaffordable complexity in real systems as well as slow convergence time, since one has to perform an exhaustive search over thousands of ne bins, each at the nanosecond level In order to improve the acquisition speed, several modi ed timing recovery schemes have been proposed, such as a bit reversal search [14], or the correlator-type approach which exploits properties of beacon sequences [12].



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WLAN did not remain alone. In the last couple of years, a wide variety of new mobile technologies, e.g. Bluetooth [Bluetooth] have been introduced successfully. More technologies, e.g. WiMAX [IEEE 802.16] are currently being deployed. Figure 2.4 compares these technologies with UMTS regarding their theoretical bit-rate and range. Thereby, range denotes somewhat unscienti cally a combination of contiguous coverage of the technology and speed of the mobile user.





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Even though some of these methods have already been in use in certain analog systems [11], the need for very high sampling rates, along with the search-based nature of these methods, makes them less attractive for digital implementation Recently, a family of blind synchronization techniques was developed [31], which takes advantage of the so-called cyclostationarity of UWB signaling, that is, the fact that every information symbol is made up of UWB pulses that are periodically transmitted (one per frame) over multiple frames While such an approach relies on frame-rate rather than Nyquist rate sampling, it requires relatively large data sets in order to achieve good synchronization performance Another challenge arises from the fact that the design of an optimal UWB receiver must take into account certain frequency-dependent effects on the received waveform.

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Optimisation of the FLC is essential to obtain a high performance of the auto-tuning process. It allows to adapt the controller to new conditions of utilisation such as a new environment or traffic composition. Each FLC solution produced by the optimiser is evaluated using around 1000 correlated snapshots of the semi-dynamic simulator to assess its performance. A snapshot corresponds to a full static network evaluation. Hence, the number of iterations of the optimisation algorithm is limited. Two approaches to FLC optimisation are considered here: Off-line and on-line optimisation. Offline optimisation is carried out on a computer, and can utilise robust optimisation techniques such as combinatorial methods, in conjunction with a dynamic simulator for the network evaluation. On-line optimisation on the other hand aims at optimising the FLC on a real network. The two approaches are discussed presently.

That is, due to the broadband nature of UWB signals, the components propagating along different paths typically undergo different frequency-selective distortions.

In a conversational interview, you might feel like you re chatting with a friend or professional colleague instead of a prospective employer. Rather than following a question-and-answer format, the interview flows informally from one topic to the next, as in a typical conversation. The interviewer might talk at length about the position or the organization as a whole and might want to discuss current events in the industry or world at large. Conversational interviews often take a circuitous route with no apparent agenda. They are sometimes conducted by an unskilled interviewer or a disorganized person, or perhaps by someone who was asked at the last minute to interview you and isn t prepared or is preoccupied with other obligations. Conversational interviews are, however, conducted by some experienced, trained interviewers who simply prefer to gather information in the context of a conversation rather than a question-and-answer format.

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This application simply reworks the version at the end of the previous section. The JSP uses an XSL formatting program, together with the xsl taglib library, to format some XML (it is the same page as before; it simply references a different XSL file). A SoccerBean object provides the data as a String representation of an XML document. The new page differs from the previous one really only in the name of the XSL program file: The XSL program that formats the data for a WAP phone is as follows:

The rest is application-specific! The remaining code in the program will involve different traversals of the Document to obtain data. The following example reworks the books problem just explored using SAX. The DOM version will use an instance of Apache s DOMParser class to build a Document object with all the information in the book s XML file (the example also includes a DTD for this XML document and optionally requires that the parser validate the file). When the Document has been created, two traversals are performed. The first gathers the data needed for determining the price ranges of Java books; the second identifies and prints data on the books with a four-star or higher rating. Both traversals use one of the simpler Document accessor methods getElementsByTagName. This is used to find the BOOK elements in the structure; then other accessors getFirstChild, getNodeValue are used to obtain data like the book titles. The program structure is:

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