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1 S Roy, J Foerster, V Somayazulu, and D Leeper, Ultrawideband radio design: The promise of high-speed, short-range wireless connectivity, Proc IEEE 92(2), 295 311 (2004) 2 ECMA, Standard ECMA-368: High rate ultra wideband PHY and MAC standard, available: http://wwwecma-internationalorg/publications/standards/Ecma368htm, Dec 2005 3 IEEE P80215, Multiband OFDM physical layer proposal for IEEE 80215 Task Group 3a, document No P80215-03/268r3, IEEE, New York, Mar 2004 4 A Batra, J Balakrishnan, G Aiello, J Foerster, and A Dabak, Design of a multiband OFDM system for realistic UWB channel environments, IEEE Trans Microwave Theory Technol 52(9), 2123 2138 (2004) 5 J Bingham, ADSL, VDSL, and Multicarrier Modulation, Wiley, New York, 2000 6 G Caire, G Taricco, and E Biglieri, Bit-interleaved coded modulation, IEEE Trans Inform Theory 44(3), 927 946 (1998) 7.

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Federal Communications Commission (FCC), Revision of Part 15 of the Commissions rules regarding ultra-wideband transmission systems, First Report and Order, ET Docket 98-153, FCC 02-48, adopted February 14, 2002, released Apr 22, 2002 8 A F Molisch, J R Foerster, and M Pendergrass, Channel models for ultrawideband personal area networks, IEEE Wireless Commun Mag 10(6), 14 21 (2003) 9 J G Proakis, Digital Communications, 4th ed, McGraw-Hill, New York, 2001 10 C Snow, L Lampe, and R Schober, Performance analysis and enhancement of multiband OFDM for UWB communications, IEEE Trans Wireless Commun 6(6), 2182 2192 (2007) 11 C Snow, L Lampe, and R Schober, Error rate analysis for coded multicarrier systems over quasi-static fading channels, IEEE Trans Commun 55(9), 1736 1746 (2007) 12 B Muquet, Z Wang, G Giannakis, M de Courville, and P Duhamel, Cyclic pre xing or zero padding for wireless multicarrier transmissions IEEE Trans Commun.

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50(12), 2136 2148 (2002) 13 X Cai and G B Giannakis, Error probability minimizing pilots for OFDM with M-PSK modulation over Rayleigh-fading channels, IEEE Trans Vehic Technol 53(1), 146 155 (2004) 14 A Saleh and R Valenzuela, A statistical model for indoor multipath propagation, IEEE J Sel Areas Commun SAC-5(2), 128 137 (1987) 15 A Molisch, D Cassioli, C-C Chong, S Emami, A Fort, B Kannan, J Karedal, J Kunisch, H Schantz, K Siwiak, and M Win, A comprehensive standardized model for ultrawideband propagation channels, IEEE Trans Antennas Propagat 54(11), 3151 3166 (2006)..

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interested in the ability of baseline activity patterns or changes in activity patterns over the years to predict risk of depression Generally, all of them have revealed a link between inactivity, or reduction in activity, and higher risk of depression Interestingly, those who were inactive at baseline and became active later on were less likely to develop depression (Camacho et al, 1991), just as those who were active at baseline and reduced their activity were more likely to develop depression (Lampinen et al, 2000) or other negative emotions (C Lee & Russel, 2003) A relationship between inactivity and higher prevalence of depression emerges from these studies, rather than a linear relationship whereby depression is reduced when activity increases Although most studies indicate that exercise has a protective effect against depression in general, one study (Kritz-Silverstein et al.

, 2001) indicates that the protection is only among those who are clinically depressed at baseline This means that physical activity is more useful in alleviating depression among those who are depressed but not among the general population This finding gains support from several intervention studies (Bennett, Carmack, & Gardner, 1982; Means, O Sullivan, & Rodell, 2003; Williams & Lord, 1997) However, a previous metaanalysis (North, McCullagh, & Tran, 1990) performed on different age groups indicated that the effect size of physical activity on depression was not related to the initial depression level, and that all subjects, both the initially depressed and the nondepressed, decreased depression with exercise It can therefore be concluded that people who are active over the years are less likely to develop depression.

One limitation of most nonintervention studies assessing the relationship between physical activity and affect is that they use predominantly self-report subjective measures for assessing both physical activity and affect Their weakness is in the ability of participants to easily understand the purpose of the study and fake answers It is therefore appreciated that two recent studies informed the relationship between physical activity or fitness and affect based on objective measures: a pedometer for assessing physical activity (Fukukawa et al, 2004) and maximal oxygen uptake and a strength test to assess physical fitness (Stewart et al, 2003) The studies assessing various age groups are of specific importance (Camacho et al, 1991; Farmer et al, 1988; Fukukawa et al, 2004; Stephens, 1988) Generally, all of them succeed in revealing a link between inactivity, or reduction in activity, and higher risk of depression, espe-.

Karen M. Schmidt has published under the name of Karen M. McCollam and would like to thank John McArdle, John Nesselroade, Ryan Bowles, Tracy Kline, and Wayne Velicer for helpful comments during the writing of this chapter. She would also like to thank Bill Stell for assistance in editing and writing style. The writing of this chapter was partially funded by grants from the College Board and a sesquicentennial associateship from the University of Virginia to Karen M. Schmidt.

(2) p(J.:) a polynomial with companion matrix C: are the roots of p( x).

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