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1.442 1.22 2.549 2.328 2.106 1.663 1.885 0.556 0.777 0.777 0.999 0.999 0.777 0.556

The CramCr-Rao lower bound would be of theoretical interest only if no estimators would exist that actually attain or approach it. The following theorem establishes necessary and sufficient conditions for the existence of unbiased estimators that actually attain the Cram&Rao lower bound, that is, have variances equal to the corresponding Cram&-Rao variances.

data into plane wave components that correlate to angles of incidence in the subsurface and the degree of lateral variability By recognizing these relationships, we can develop an adaptive strategy for imaging, which gradually introduces larger angles of incidence and more structural complexity Computational resources can be increased correspondingly, as more plane waves are included in the imaging One of the outstanding problems in seismic imaging is to determine the threedimensional subsurface velocity function required for imaging This function can be based on a priori information, but usually must be either de ned or re ned from the seismic survey data We present an automated approach for velocity analysis based on the coherency of trial images, as observed from different viewing angles.

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In UTRAN the data generated at higher layers is carried over the air interface using transport channels mapped onto di erent physical channels. The physical layer has been designed to support variable bit rate transport channels, to o er bandwidth-on-demand services and to be able to multiplex several services within the same RRC connection. The single output data stream from the coding and multiplexing unit is denoted by the CCTrCH, which may consist of one or more time-multiplexed transport channels. A CCTrCH is carried by one physical control channel and one or more physical data channels. In general, there can be more than one CCTrCH, but only one physical control channel is transmitted on a given connection or radio link (see [23] and [24]). Two types of transport channels exist: dedicated channels and common channels. A common channel is a resource divided between all or a group of users in a cell, whereas a dedicated channel is by de nition reserved for a single user. The connections and mapping between transport channels and physical channels are depicted in Figure 4.11.

As the optimization tool, we employ very fast simulated annealing to draw trial sparse velocity models based on, for example, spline coef cients, which are then gridded for the imaging algorithm Repeated trials (on the order of hundreds) lead to coherent images with minimal need for manual intervention in the process We stage the optimization process over model complexity and viewing angle to improve the rate of convergence This adaptive strategy improves the velocity model by nding the slowly varying lateral components rst, and then adding complexity and resolution, as more plane wave components are included The implementation strategy we describe is best on a distributed but relatively large memory parallel con guration, such as the clusters currently in use.

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people; property, plant, equipment and production; and the environment. Likelihoods are based on estimates of the frequency of occurrence of the specific hazard and the probability that any controls will fail. For each identified hazard, the level of risk is obtained by combining: the frequency of its occurrence; the probability the controls will fail; and the severity of the consequences. For simplicity and speed, agreed scales and look-up tables or simple formulae are used. It is important that the scales be consistent. They must be appropriate for the hazards being examined, the objectives of the organization and the purpose of the assessment refer to the discussion of the context in 2. Table 17.6 illustrates a typical consequence scale directed to safety and environmental impacts. The outputs from a rapid risk ranking are a structured list of potential hazards, with priorities. The priorities can be compared against targets or other criteria to gauge hazard management performance, to identify hazards for which additional analyses are required, and to guide the development of action plans and the allocation of resources.

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