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was repeated for the next strongest user, where the reconstructed signal of this second user was cancelled from the composite signal remaining after the first cancellation. The interference cancellation was carried out successively for all the other until eventually onlythe users, signal of the weakest user remained. It was shown that the SIC receiver improved the BER and the system s user capacity over that of the conventional matched filter for the Gaussian, for narrowband Rayleigh and for dispersive Rayleigh channels. Multipath diversity was also exploited by combining the SIC receiver with the RAKE correlator [363]. Again, Figure 12.12 shows the schematic of the SIC receiver. Soong and Krzymien [364] extended theSIC receiver by using reference symbols in order to aid the CIR estimation. The performance of the receiver was investigated in flat and frequency-selective Rayleigh fading channels, as well as in multi-cell scenarios. A soft-decision based adaptive SIC scheme was proposed by Hui and Letaief [365], where soft decisions were used in the cancellation stage and if the decision statistic did not satisfy a certain threshold, no data estimation was carried out for that particular databit, in order to reduce error propagation.



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Note: Antecedent variables are listed in alphabetical order. Italicized variables have been documented in sport contexts by the studies marked with an asterisk.

The minivan has moved between the first and second field scans. When the fields are combined into a single frame, interlacing artifacts are plainly visible.

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light, sound, and humidity. These sensor readings are transmitted over a wireless channel to a running application that makes decisions based on these sensor readings. Many applications have been proposed for wireless sensor networks, and many of these applications have speci c quality of service (QoS) requirements that offer additional challenges to the application designer. In this chapter, we introduce the topic of wireless sensor networks from the perspective of the application. Along with some examples of proposed wireless sensor applications, we consider two questions to motivate an application-based viewpoint: 1. What aspects of wireless sensors make the implementation of applications more challenging, or at least different One widely recognized issue is the limited power available to each wireless sensor node, but other challenges such as limited storage or processing capabilities play a signi cant role in constraining the application development. 2. What services are required for a wireless sensor network application to achieve its intended purpose A number of widely applicable services, such as time synchronization and location determination are brie y discussed. Other services are needed to support database requirements, such as message routing, topology management, and data aggregation and storage. Because some of these topics are covered in separate chapters, this discussion serves to provide a broad framework to enable the reader to see how these different topics tie together into a cohesive set of capabilities for building wireless sensor network applications.

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in the square domain K4 = (-1, 1)2. The set C comprises four linear forms L, : Q1(K4)+ R, associated with function values at the edge midpoints [-1,0], [1,0], [O,-11, and [O, 11,

Figure 1-6

Human Memory Modeled with Standard Analog and Digital Circuits: Inspiration for Man-made Computers, By John Robert Burger Copyright r 2009 John Wiley & Sons, Inc.

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Plamen Angelov is a Senior Lecturer (Associate Professor) at Lancaster University, UK Prior to that he spent over 10 years as a researcher working on computational intelligence and advanced modeling and control problems He holds an MEng in Electronics and Automation (1989), and a PhD in Optimal Control (1993) He has been a visiting researcher at the Catholic University of Leuvain-la-neuve, Belgium (1997) and Hans Knoell Institute, Jena, Germany (1995/6) He was a research fellow at Loughborough University from 1998 to 2003, when he was appointed at Lancaster University He authored and co-authored over 120 peer-reviewed publications, including a research monograph, Evolving Rule-based Models: A Tool for Design of Flexible Adaptive Systems (Springer, 2002), two edited volumes (IEEE Press, 2002 and 2006), over 30 journal papers, and a patent (2006).

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