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After time-domain channel estimation, the resulting estimates h t , M M S E can be used as part of the pilot observations for frequency-domain channel estimation. The effective size of the frequency domain pilot set, K = IPfl, is therefore increased. In many cases, K is power-of-2 with a comb-type pilot pattern. Following a similar derivation, we obtain the MMSE estimate of the frequency domain channel response vector as
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Figure 26-1: The DesignCenter with the Folders tab displayed. The Folders tab displays a tree view of any location your hard drive, network, or the Internet that you can access. This tree view is very similar to that of Windows Explorer. Click the plus sign next to a drive or folder to display its contents. Use the vertical scroll bar to display any location.
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It may require a piece of data that shouldn t exist in order to represent another piece of data that should exist. It may limit the number of values that you can enter for what should be a multi-valued piece of data.
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FIGURE 9 VTK pro le (solid line) obtained spectrophotometrically ( = 298.5 nm) for hydrolysis of aspirin in water (pH = 4.50). M: T(K) = 304.36 + 3.647 10 4t (dashed line).
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Figure 2-28 The data warehouse sits at the center of a large framework.
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experiment, the various preparations can be electrophoresed side-by-side to allow direct comparison between them. An important variable in western blotting is protein transfer ef ciency. Small and soluble proteins transfer best while larger and more brous proteins may transfer with very low ef ciency. For this reason, it is usual to stain the gel after blotting to establish how much of each component of the sample has successfully transferred to the membrane. Since transfer between gel and membrane covers a very short distance, it should be complete in a short time (<1 h). In cases where a particular protein does not transfer ef ciently, it may be wise to vary the transfer conditions rather than extending the transfer time to several hours. Useful points of variation include the presence/absence of methanol, SDS concentration, ionic strength of transfer buffer and current density (mA/cm2 ). 5.10.3 Southern Blotting of DNA
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In the above equations, closure relationships have to be supplied for the interfacial drag terms, Mig and M,/ and the wall shear terms MWI, MWS. These terms are critical in determining the correct prediction of the flow processes. The amount of liquid that is bypassed out of the break is dictated by the drag forces exerted by the air flow and will vary depending on the local conditions in the annulus.
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Advanced Computational Infrastructures For Parallel and Distributed Adaptive Applications. Edited by Manish Parashar and Xiaolin Li Copyright 2010 John Wiley & Sons, Inc.
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Windows 3.1 had over 3 million lines of code. (continued)
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Mobsby (1973, 1974). More recently Hopkins and Shagan (1977) used spot diagrams for designing the null gratings. An alternative exact procedure uses Eq. (9.22) to compute TA S for different values of S from the center to the edge of the mirror. Then we take the intersections of the desired straight fringe on the aspheric mirror with the circles on which the TA S was computed. For each of those intersections there is an angle y, which is the same on the ruling to be computed. The radial coordinate on the ruling is computed TA S for that circle with radius S on the mirror. Still another alternative and approximate method is based on the computation of the third-order transverse spherical aberration (Malacara and Cornejo, 1976b). If " x " and r are the x and radial coordinates of a point over a fringe in the null Ronchi ruling, respectively, the ruling is computed with r2 r 2 x3 Km3 x
Table 4.7 shows an extended likelihood scale that was developed for a multi-purpose set of assessments. The high-frequency levels were needed to assess strategic risks with project-wide effects; the low-frequency levels were needed to assess rare technical risks that were to be included in regulatory submissions; and there was some overlap. A combined likelihood scale, with a correspondingly extended priority-setting matrix, was used to ensure comparability of outcomes across the different areas in the project where major risk assessments were being undertaken, and to enhance consistent reporting to the board. The scale in Table 4.6 has been used successfully in risk analyses for large projects. However, it can be adapted easily to smaller and less complex procurements. For example, for routine procurements that take place several times per year, the scale in Table 4.8 might be appropriate. As was the case for the consequence scales, comparability and consistency are important.
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