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Vista Calendar uses the iCalendar format. As long as the shared calendar is in this same format, you should be able to subscribe to that calendar. And the converse holds true; you should be able to share a calendar without the use of any third-party software. See the following Web site for more information: www.microsoft.com/ windowsvista/features/forhome/calendar.mspx.
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106. Schwartz, R. W.; Voigt, J. A.; Tuttle, B. A.; DaSalla, R. S.; Payne, D. A. 1997. Comments on the effects of solution precursor characteristics and thermal processing conditions on the crystallization behavior of sol-gel derived PZT thin lms. J. Mat. Res. 12:444 456. 107. Tuttle, B. A.; Voigt, J. A.; Headley, T. J.; Potter, Jr., B. G.; Dimos, D.; Schwartz, R. W.; Dugger, M. T.; Michael, J.; Nasby, R. D.; Garino, T. J.; Goodnow, D. C. 1994. Ferroelectric thin lm microstructure development and related property enhancement. Ferro. 151(1 4):11 20. 108. Voigt, J. A.; Tuttle, B. A.; Headley, T. J.; Lamppa, D. L. 1995. The pyrochloreto-perovskite transformation in solution-derived lead zirconate titanate thin lms. In Ferroelectric Thin Films IV, edited by Tuttle, B. A.; Desu, S. B.; Ramesh, R.; Shiosaki, T. Mat. Res. Soc. Symp. Proc. 361:395 402. 109. Hoffmann, M.; Hofer, C.; Schneller, T.; B ttger, U.; Waser, R. 2002. Preparation and aging behavior of chemical-solution-deposited (Pb(Mg1/3Nb2/3)O3)1 x (PbTiO3)x thin lms without seeding layers. J. Am. Ceram. Soc. 85:1867 1869. 110. Schneller, T.; Waser, R. 2007. Chemical modi cations of Pb(Zr0.3,Ti0.7)O3 precursor solutions and their in uence on the morphological and electrical properties of the resulting thin lms. J. Sol-Gel Sci Tech. 42:337 352. 111. Eichorst, D. J.; Payne, D. A. 1988. Sol-gel processing of lithium niobate thinlayers on silicon. In Better Ceramics Through Chemistry III, edited by Brinker, C. J.; Clark, D. E.; Ulrich, D. R. Mat. Res. Soc. Symp. Proc. 121:773 778. 112. Coffman, P. R.; Dey, S. K. 1994. Structure evolution in the PbOZrO2TiO2 sol-gel system: Part I characterization of prehydrolyzed precursors. J. Sol-Gel Sci. Tech. 1:251 265. 113. Coffman, P. R.; Barlingay, C. K.; Gupta, A.; Dey, S. K. 1996. Structure evolution in the PbO-ZrO2-TiO2 sol-gel system: Part II pyrolysis of acid and basecatalyzed bulk and thin lm gels. J. Sol-Gel Sci. Tech. 6:83 106. 114. Lockwood, S. J.; Schwartz, R. W.; Tuttle, B. A.; Thomas, V. A. 1993. Solution chemistry optimization of sol-gel processed PZT thin lms. In Ferroelectric Thin Films III, edited by Tuttle, B. A.; Myers, E. R.; Desu, S. B.; Larsen, P. K. Mat. Res. Soc. Symp. Proc. 310:275 280. 115. Melnick, B. M. 1992. Statistical investigation of sol-gel lead titanate (PT) processing. Int. Ferro. 2(1 4):255 268. 116. Lefevre, M. J.; Speck, J. S.; Schwartz, R. W.; Dimos, D.; Lockwood, S. J. 1996. Microstructural development in sol-gel derived PZT thin lms: the role of precursor stoichiometry and processing environment. J. Mat. Res. 11:2076 2084. 117. Tani, T.; Lakeman, C. D. E.; Li, J.-F.; Xu, Z.; Payne, D. A. 1994. Crystallization behavior and improved properties for sol-gel derived PZT and PLZT thin layers processed with a lead oxide cover coating. Ceram. Trans. 43:89 106. 118. Fe, L.; Malic, B.; Norga, G.; Kosec, M.; Wouters, D. J.; Bartic, T. A.; Maes, H. E. 1999 Role of precursor chemistry in the ferroelectric properties of donor doped Pb(Zr,Ti)O3 thin lms. In Ferroelectric Thin Films VII, edited by Jones, R. E.; Schwartz, R. W.; Summerfelt, S.; Yoo, I. K. Mat. Res. Soc. Symp. Proc. 541:369 374. 119. Norga, G. J.; Fe, L.; Vasiliu, F.; Fompeyrine, J.; Locquet, J.-P.; Van der Biest, O. 2004. Orientation selection in functional oxide thin lms. J. Euro. Ceram. Soc. 24:969 974.
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Figure 5.5.2 Schematic diagram of the experimental setup for high-energy XRF analyses. (a) Laboratory spectrometer. In the primary beam lter technique, a lter (A) is interposed between the tube and the sample. In the secondary target technique, the part enclosed in broken lines is replaced by the system below, where (B) represents the secondary target.1 (b) SR spectrometer at BL-08 W of SPring-8
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Part I
Although the impairments depicted in Fig. 7.17 are shown individually, they will in general appear in various combinations on different channels. To visualize the effects of these impairments on modem performance, one can pass decision boundaries through the origin at 45 to the right and left of the vertical axis. Received signal points crossing one or more decision boundaries result in demodulated symbol errors. All of the channel impairments shown in Fig. 7.17 are found on both wired and wireless channels. Wireless channels also suffer from large amplitude uctuations caused by signal fading. We treat this topic in detail in 8. Another category of transmission impairment is one that can be described equally well for wireline and radio systems as distortion due to nonideal channel frequency-response characteristics. That is, when the channel has non at amplitude and delay response over the bandwidth occupied by the transmitted signal, the channel acts as a nonideal lter, causing intersymbol interference in the received symbol stream. Intersymbol interference imposes the principal limitation on achievable data rates on bandlimited channels. The difference between the amplitude and phase distortion in wireline and wireless channels is that distortions in wireline channels are on the edges of the band, whereas a radio channel may by subjected to frequency-selective fading even in the midregion of the band. 7.4 TRADITIONAL MODEMS FOR WIDE-AREA WIRELESS NETWORKS In our earlier discussion of modem technology, we described the progression of modem techniques, ranging from simple OOK and FSK through PSK, PAM, QAM, partial response, and TCM. In this section we describe modulation techniques that have been adopted in most of the developing standards for second-generation wireless information networks. In principle, the modulation techniques discussed earlier are applicable to all wireline and wireless modems. That is, there are basic design issues that are common to both wireline and wireless systems. In general, we would like to transmit data with the highest achievable data rate and with the least expenditure of signal power. In other words, we usually want to maximize both bandwidth ef ciency and power ef ciency. However, the emphasis on these two objectives varies from one application to another, and there are certain details that are speci c to particular applications. In voiceband telephone channels, high bandwidth ef ciency has a direct economic advantage to the user, because it can reduce connect time or avoid the necessity of leasing additional circuits to support the application at hand. The typical telephone channel is less hostile than a typical radio channel, providing a fertile environment for examining complex modulation techniques and signal-processing algorithms. Speci c impairments seen on telephone channels are amplitude and delay distortion, phase jitter, frequency offset, and effects of nonlinearities. Many of the practical design elements of wireline modems have been developed to deal ef ciently with these categories of impairments. In radio systems, bandwidth ef ciency is also an important consideration, because the radio spectrum is limited and many operational bands are becoming increasingly crowded. Radio channels are characterized by multipath fading and Doppler spread, and a key impediment in the radio environment is the relatively high levels of average signal power needed to overcome fading. However, there are other considerations that affect the selection of a modem technique for a wireless application. In the next subsection we discuss requirements for radio modems in greater detail before going on to a description of the modem techniques that are in most widespread use in evolving wireless networks.
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-- Step 1 DECLARE cDetail CURSOR FAST_FORWARD FOR SELECT DetailID FROM Detail WHERE AdjAmount IS NULL -- Step 2 OPEN cDetail -- Step 3 / Priming the Cursor FETCH cDetail INTO @cDetailID EXEC CalcAdjAmount @DetailID = @cDetailID, @AdjustedAmount = @SprocResult OUTPUT UPDATE Detail SET AdjAmount = @SprocResult WHERE DetailID = @cDetailID WHILE @@Fetch_Status = <>1 BEGIN BEGIN EXEC CalcAdjAmount @DetailID = @cDetailID, @AdjustedAmount = @SprocResult OUTPUT UPDATE Detail SET AdjAmount = @SprocResult WHERE DetailID = @cDetailID END -- Step 3 / Iterating through the cursor FETCH cDetail INTO @cDetailID -- fetch next END -- Step 4 CLOSE cDetail -- 5 DEALLOCATE cDetail
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