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The transfer function description of an FSSM encoder can be used to obtain the equivalent systematic form of a given non-systematic encoder [7]. This conversion method consists of converting the transfer function of a non-systematic form, as given in expression (11), into an expression of systematic form, like that of expression (24), by means of matrix operations. Example 6.4: Determine the equivalent systematic version of the convolutional encoder generated by the transfer function G(D) = G ns (D) = 1 + D 2 1 + D + D 2 The non-systematic convolutional encoder of the code described by this transfer function is shown in Figure 6.3. The transfer function should adopt the form of equation (24) to correspond to a systematic convolutional encoder. In this case the procedure is quite simple, because it only consists of dividing both polynomials of the transfer function by the polynomial 1 + D 2 . This procedure converts the transfer functions of the original convolutional code, which are in this case of FIR type, into transfer functions of IIR type. This division is done in order to make the matrix transfer function contain the identity submatrix, which in this example is G 11 (D) = 1. The resulting transfer function is G s (D) = 1 1 + D + D2 1 + D2

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2 A cell handover is the transfer of a user from one spot beam to another within the same satellite A satellite antenna directed to terminals is composed of a series of beams Such a decomposition of the satellite footprint allows reuse of the radio frequencies several times in its coverage area These handovers have no impact on intersatellite routing, but seriously impact on-board computations If a user is just on the border of the coverage area of a satellite, his/her connection time to an individual satellite can be extremely small Hence, in general, constellations are designed in such a way that the footprints overlap and extremely small connection times to an individual satellite never happen Nevertheless, the maximum connection time is still limited A user s trajectory, viewed from the satellite, will resemble a straight line crossing the center of the coverage area.

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As emphasized in 6, time and timing are most important factors in digital transmission. For this discussion consider a binary end instrument (e.g., a PC) sending out in series a continuous run of marks and spaces. Those readers who have some familiarity with the Morse code will recall that the spaces between dots and dashes told the operator where letters ended and where words ended. The sending device or transmitter delivers a continuous series of characters to the line, each consisting of ve, six, seven, eight, or nine elements (bits) per character. A receiving device starts its print cycle when the transmitter starts sending and, if perfectly in step with the transmitter, can be expected to provide good printed copy and few, if any, errors at the receiving end. It is obvious that when signals are generated by one machine and received by another, the speed of the receiving machine must be the same or very close to that of the transmitting machine. When the receiver is a motor-driven device, timing stability and accuracy are dependent on the accuracy and stability of the speed of rotation of the motors used. Most simple data-telegraph receivers sample at the presumed center of the signal element. It follows, therefore, that whenever a receiving device accumulates timing error of more than 50% of the period of one bit, it will print in error. The need for some sort of synchronization is illustrated in Figure 10.5. A ve-unit

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The apparent (or relative) speed of the user is then the speed of the satellite This causes the following undesirable phenomena: visibility changes, varying topologies (ISLs changes), footprint handover, and need for rerouting 22312 Earth s Self-Rotation The Earth s self-rotation introduces some more complication in the system In Figure 225, we plot the maximum time between two satellite handovers against the altitude h and the elevation angle of a constellation, in two cases: 1 The Earth s self-rotation is not taken into consideration and the satellite s inclination can be arbitrary 2 The Earth s self-rotation is taken into account and the orbit of the satellite is equatorial 22313 Modeling the Network Mobility Notice that the maximum handover time, shown in Figure 225, can vary from some minutes up to several hours.

Learning to juggle: On the assembly of functional sub-systems into a task-specific dynamical organization Biological Cybernetics, 88, 302 318 Kang, N, Shinohara, M, Zatsiorsky, V M, & Latash, M L (2004) Learning multi-finger synergies: An uncontrolled manifold analysis Experimental Brain Research, 157, 336 350 Kelso, J A S (1984) Phase transitions and critical behavior in human bimanual coordination American Journal of Physiology: Regulatory, Integrative, and Comparative Physiology, 15, R1000 R1004 Kelso, J A S (1995) Dynamic patterns: The self-organization of brain and behavior Cambridge, MA: MIT Press Khan, M A, Elliot, D, Coull, J, Chua, R, & Lyons, J (2002) Optimal control strategies under different feedback schedules: Kinematic evidence Journal of Motor Behavior, 34, 45 57 Khan, M A, & Franks, I M (2004) The utilization of visual feedback in the acquisition of motor skills In A M Williams & N J.

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