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context of AQAM, Yee and Hanzo [43] studied the design of various Radial Basis Function (RBF) assisted neural network based schemes, while communicating over dispersive channels The advantage of these RBF-aided DFEs is that they are capable of delivering error-free decisions even in scenarios, when the received phasors cannot be error-freely detected by the conventional DFE, since they cannot be separated into decision classes with the aid of a linear decisionboundary In these so-called linearly non-separabledecision scenarios the RBF-assisted DFE still may remain capable of classifying the received phasors into decision classes without decision errors A further improved turbo BCH-coded version of this RBF-aided system was characterized by Yee et al in [44], while a turbo-equalised RBF arrangement was the subject of the investigation conducted by Yee, Liew and Hanzo in [45,46].

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along a diagonal line. Here, d is the separation between two consecutive holes in the Hartmann screen. This expression is calculated for successive spots coming from holes along a line on the Hartmann screen, beginning with W(0, m), W (n, 0), TA(0, m), and TA(n, 0) equal to zero. Then, a new line is scanned, until the whole pattern is covered from several directions. These expressions give the surface deviation at any point (n, m), taking the rst point as a reference. The holes on the Hartmann screen should be placed very accurately to avoid errors in computing the surface deviations. The hole diameter should be small but not so small that their diffraction images on the photographic plate overlap each other and should be of suf ciently small size so as to permit an accurate measurement of the wavefront aberrations present (Golden, 1975; Vitrichenko et al., 1975; Morales and Malacara, 1983). Because numerical integration methods tend to have an accumulation of errors inherent in them, some care must be taken to reduce that error. This is best done through the use of paths of integration that intersect at only one point, which means that a surface height at any location is obtained by independent means. It is also worthwhile to integrate along any path in one direction and in its reverse direction, and then average the results obtained. The scheme used in the integration follows a philosophy that is shown schematically in Figure 10.8. First, the summations originate on the x and y axes and have as

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The RBF-aided AQAM research has also been extendedto the turbo equalization of a convolutional as as space-time trellis coded arrangement proposed well by Yee, Yeap and Hanzo [47,48] The same authors endeavoured to reduce the associated implementation then complexity of an RBF-aided QAM modem with the adventof employing a separate in-phase / quadrature-phase turbo equalization scheme the quadraturearms of the modem in As already mentioned above, the performance of channel coding in conjunction with adaptive modulation in a narrow-band environment was also characterized by Chua and Goldsmith [35] In their contribution trellis and lattice codes were used without channel interleaving, invoking a feedbackpath between the transmitter and receiver for modem mode control purposes.