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Ac ej (2 fc t+ c + (t)) , or s (t) = Ac ej (2 (fc +f (t))t+ c ) , the received signal after complex conjugate demodulation becomes x(t) = S(t)ej c + N(t), which takes on the spe j c + N(t), x(t) = A a(t)ej ( (t)+ c ) + N (t), and x(t) = ci c forms x(t) = Ac a(t)e c j (f (t)+ c ) (t), respectively, where N(t) = n(t)cr (t) is again a zero-mean Ac a(t)e +N baseband complex Gaussian process. Since c is constant over the symbol (bit) interval,10 then the outputs of the matched lter for each of these types of modulation are as given in Section 3.1 [e.g., Eqs. (3.4), (3.13), (3.23)], multiplied by ej c . As such, one can view the receiver structures for nonideal phase coherent detection as having baseband equivalents to those of ideal phase coherent detection with the addition of a phase rotation c . Thus, if as before ynk , k = 1, 2, . . . , M denotes the set of matched- lter outputs for ideal phase coherent of the nth symbol, then the decision variables for nonideal phase coherent detection in that same interval become ynk ej c , k = 1, 2, . . . , M where c is distributed according to (3.37) or an appropriate variation thereof and is assumed to be independent of the ynk s. Equivalently, one can postulate a complex baseband receiver model where the kth matched- lter output in the nth symbol interval is ynk = sk ej c + Nnk (3.38)

Figure 6.6- 14 BR-L Difference spectrum (room temperature)

(3.6-7)

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FATALISTS Fatalists are individuals with a low group high grid worldview. They believe, like hierarchists, that their autonomy is restricted by social distinctions, but in contrast to them, they feel excluded from membership in the institutions responsible for setting the rules, and tend to see themselves as outsiders (Douglas and Wildavsky, 1982; Langford et al., 2000; Thompson et al., 1990). They believe that the sphere of

1 1 ej ( + /2) (4.76)

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You might already be familiar with the following ANT vocabulary: Projects Properties Targets File matching Tasks Just in case they are new to you, this section will run through these top-level terms.

more general framework considered here, it is readily seen that they also apply to the corresponding dynamic problem and to other integrated reaction separation processes such as chromatographic reactors From this, the following important conclusions can be drawn: Using the transformed variables the reactive problem (Eq. (5)) is completely equivalent to a nonreactive problem (Eq. (4)) of reduced dimension. Hence, in the limit of chemical equilibrium the dynamic behavior of reaction separation processes is equivalent to the dynamic behavior of nonreactive processes. All methods available for the nonreactive problem (Eq. (4)) can also be applied to the reactive problem in transformed concentration variables (Eq. (5)). On the conceptual level considered here, different processes have similar properties. Methods developed for a specific class of integrated reaction separation processes can also be applied to other processes within the framework outlined above. Finally, it should be noted that the above treatment is only valid for constant flow rates. For processes without solvent (e.g., reactive distillation processes), this assumption is only valid for equimolar reactions. For equimolar reactions the definition of transformed concentration variables introduced by Ung and Doherty [41] reduces to the definition in Eq. (6). For processes with solvent, (e.g., reactive chromatographic processes), the assumption of constant flow rates is also valid in good approximation, if the concentration of the solvent is high compared to the other reacting species. This is also true if one of the reactants is used simultaneously as a solvent, as in many applications of reactive chromatography (see e.g. Refs. [1, 28]). In contrast to the steady-state case treated by Ung and Doherty [41], additional dynamic phenomena may arise for variable flow rates, as will be discussed in the conclusion section.

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