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In Part I of this monograph initially the performance of the DFEwas analysed using multilevel modulation modes over static multi-path Gaussian channels, as shown in Figure 2.10. These discussionswere further developed in the context of a multi-path fading channel environment, where the recursive Kalman algorithm was invoked in order to track and equalize the received linearly distorted data, as evidenced by Figure 3.16. Explicitly, an adaptive CIR estimator and DFE were implemented in two different receiver structures, as shown in Figure 3.14, while their performances were compared in Figure 2.10. In this respect, Structure 1, which utilized the adaptive CIR estimator provided a better performance, when compared to that of Structure 2 , which involved the adaptive DFE, as evidenced by Table 3.10. Furthermore, the complexity of Structure 2 was higher than that of Structure 1, which was studied in Section 3.4. However, these experiments were conducted in a fast start-up environment, where adaptation was restricted to the duration of the training sequence length. By contrast, if the adaptation was invoked over the entire transmission frame using a decision directed scheme, the complexity advantage of Structure 1 was eroded, as discussed in Section 3.5. The application of these fast adapting and accurate CIR estimators crucial in a wideband was AQAM scheme, where the CIR variation across the transmission frame was slow. In these experiments valuable insights were obtained with regards to the design of the equalizer and to thecharacteristics of the adaptive algorithm itself. This provided a fr foundation for the im further investigation of the proposed wideband AQAM scheme. Following our introductory chapters, in 4 the concept of adaptive modulation cast in the context of a narrow-band environment was introduced in conjunction with the

(6.10)

Gradient pattern: This allows you to select a gradient pattern or launch the Gradient Editor. The Gradient Editor is discussed in the next section. Gradient style: This allows you to set the gradient style. You can select from the linear, radial, angled, reflected, and diamond styles. Mode: This allows you to select the blending mode to use when applying the gradient fill to the image. Opacity: This sets the opacity of the filling paint. Reverse: This reverses the direction of the gradient fill. Dither: This adds a dithering effect as the gradient is applied that makes the transitions appear smoother. Transparency: When this option is selected, the transparency in the gradient allows the pixels below to show through. When this option is not selected, the gradient has no transparency.

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ity for self-association Thus, despite the continued search for the hole de nition in terms of a de ned architecture, the possibility of oligomers of varying size and shape displaying full functionality will remain 53 Pinholins: A Simple Membrane Depolarization Is Enough Although holins function to produce a membrane lesion to allow the passage of a medium-sized globular protein, in some cases the holins function simply to activate the endolysin (Park et al 2007) Such activation consists in the release from the cytoplasmic membrane into the periplasm of the endolysin molecule which is synthesized as translocated but in a membrane-tethered inactive form (Xu et al 2004, 2005; Park et al 2007) These holins are thus designated as pinholins for differentiating purposes and the corresponding endolysins referred to as signal-anchor release (SAR) endolysins.

Foreword . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . xxxvii Acknowledgments . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .xxxviii Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .xxxix

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