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The GPS is based on a three-segment architecture (Fig. 3.6): the ground segment, the space segment, and the user segment. As their names suggest, the ground segment is the part of the system that allows the monitoring, upload, and/or update of the system, and is currently completely based on Earth stations (in the GPS III evolution, scheduled for 2013 onwards, there are plans to implement a spatial version of the ground segment too). The space segment is made up of the satellites. The user segment is composed of all the possible receivers. The fundamental feature of the system, as was also the case with TRANSIT, PARUS, and TSIKADA, is the unidirectional link between the space segment and the user segment, making it impossible to saturate the system; that is, there can be as many receivers as one wants. In addition, this feature also allows receivers to be undetectable, which is very important for military applications. Of course, a link exists between the ground segment and the satellites. This is shown graphically in Fig. 3.7. One has to note that the two other constellations, GLONASS and Galileo, also use this principle of operation. The nominal constellation (Fig. 3.8) is made up of 24 satellites, orbiting in quasicircular orbits, tilted at 558 from the equatorial plane. Six such orbital planes are used, each having four satellites (non-uniformly distributed, because the coverage had to be better for northern areas for military purposes). The altitude of the satellites is around 20,200 km (with an orbital radius of approximately 26,600 km), and the revolution

Alternatively, you can toggle between a graphical user interface and other console terminals by holding the Alt key and pressing one of the Fn keys. Alt+F1 gets you to the first console, Alt+F2 to the second, and so on. Alt+F7 returns you to the GUI when you re done.

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components, so that the working data set now consists of n records on k components rather than n records on m variables. Suppose that the original variables X 1 , X 2 , . . . , X m form a coordinate system in m-dimensional space. The principal components represent a new coordinate system, found by rotating the original system along the directions of maximum variability. When preparing to perform data reduction, the analyst should rst standardize the data so that the mean for each variable is zero and the standard deviation is 1. Let each variable X i represent an n 1 vector, where n is the number of records. Then represent the standardized variable as the n 1 vector Z i , where Z i = (X i i )/ ii , i is the mean of X i , and ii is the standard deviation of X i . In matrix notation, 1 this standardization is expressed as Z = V1/2 (X ), where the 1 exponent refers to the matrix inverse, and V1/2 is a diagonal matrix (nonzero entries only on the diagonal), the m m standard deviation matrix: 11 0 = . . . 0 Let 0 22 . . . 0 .. . 0 0 . . . pp

10.3.3 Three-Platform Services As discussed earlier, the selection of multicast technologies is bound to the selection of services and applications a system will support. According to our reference model, content is sent from a service delivery domain. In practice, this means that we must employ some kind of service system that is the source of multicast services, and possibly the source or repository of the content, too. In other words, a service

A symbol period is de ned as the time that four data bits are transmitted. In IEEE 802.15.4, its length approximates to 16 ns.

The doubling rate is the maximum asymptotic exponent in the growth of wealth. The doubling rate has a number of properties that parallel the properties of entropy. We explore some of these properties in 16.

(9.107)

Greatest common divisor of two polynomials: Among all monic polynomials which are common divisors of the polynomials p( x) and q( x), t he one wi th the largest degree is said to be the greatest common divisor or factor of p(x) and q(x). Relatively prime or coprime polynomials: The polynomials p(x) and q(x) are relatively prime or coprime if they do not have a C0111111011 factor, Dividing polynomial: A polynomial q(x) divides a polynomial p(x) if q(x) is a factor of p(x), Least common multiple of two polynomials: The least common multiple of the polynomials p(x) and q(x) is the polynomial r(x) with smallest degree such that p(x) and q(x) divide "(x), Resultant: A function f : cr,m+n+l cr, is called a resultant if f(PO,PI,"'. Pm-I, qo,ql. ,qn) i= 0 <==> p(x) = Po + PIX +.,. + Pm_IX m- 1 +x tn and q(x):::: qo+qlx+" '+qnx" are relatively prime polynomials.

which is the same to rst order as the rate achieved when the gambler knows the distribution in advance, as in 6. From the examples we see that the universal gambling scheme on a random sequence does asymptotically as well as a scheme that uses prior knowledge of the true distribution. 14.10 OCCAM S RAZOR

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