Read e-book online Advances in communication systems : theory and applications. PDF

By A V Balakrishnan

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Extra resources for Advances in communication systems : theory and applications. Volume 2

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E{Xn{*)} = m( = τη{ζ) - m0 , (14) and E{Xn2(a„) | a„ = ζ} = E{[f(Zn, a„) - m0]2 | a„ = C} = KO-^o]2+var[Z„(0]· (15) Let us now take the conditional expectation of both sides of Eq.

The other condition is that there is no detailed knowledge available concerning the statistics of the process Z(t). The limitation on stochastic approximation methods is that there must be a unique solution to the regression problem of interest. Conventional estimation methods usually proceed in two steps: (1) the observed data are used to estimate intermediate statistics; and (2) a set of (possibly nonlinear) equations relating the parameters of interest to these statistics is solved. Stochastic approximation methods differ from this approach in two respects.

Percent transmission vs optical thickness and receiver cone angle [A = 30°, B = 20°, C = 10°, D = 0° (unscattered)]. FIG. 14. Geometry of the intensity transmission (a = angle subtended by boundary at top of cloud, β = angle subtended by boundary at bottom of cloud). STUDY OF MULTIPLE SCATTERING OF OPTICAL RADIATION 33 from the regions of the lower surface which are near to and beyond the boundaries of the beam. In general, the curve of received power vs cone angle will follow the curves shown in Fig.

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