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of 6dB. Figure 11.14 depicts the performance the reduced-complexity Jacobian RBF of DFE TEQ relying on detected decision feedback over the three-tap equal gain, symbol-spaced Rayleigh faded CIR obeying a Doppler frequencyof 1.5 x lop4. A LLR magnitude threshold of 10 was sufficient for the reduced-complexity Jacobian RBF DFE TEQorder to proin vide an equivalent BER performance to that of the Jacobian RBF DFE TEQ. The RBF DFE provided a better reliability-estimation over the dispersive burst-invariant Rayleigh fading channel compared to the dispersive Gaussian channel, since theuncoded BER performance was better over the Rayleigh fading channel, as is seen from comparing Figures 1.13 and it 1 l 1.14. I Hence less errors were propagated from the equaliser's decision feedback future to bits. 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In the menu that appears, select the destination folder to which you want to move the item or click Copy to Folder to specify another folder to copy the item, instead. 0 00 COMPONENT GRANULARITY AND RECURSION There are two general approaches to partitioning a given problem space into component form,, both of which produce, levels of granularity, First there is what might be called continuous recursion-the recursive application of objectoriented techniques (as, for example, advocated by,[D'Souza 1998]) This is an analysis technique in which the problem space is partitioned by Identifying very coarse-grained components; each very coarse-grained component is partitioned into components of a lower granularity and so on iteratively until the desired granularity is achieved At each level of recursion, the same concept of component Is applied Continuous recursion requires the designer to define how many levels to recurse, what role each level will play in the Information system, what unique characteristics It must have, and how each level Is to be packaged and deployed The second approach can be termed discrete recursion . 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