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This problem has an impact on the coverage area or the de nition of the positioning of the infrastructure Third, the phase-based pseudolites use a differential phase measurement technique that is essentially a relative positioning approach Then, the determination of the starting point is of prime importance As there is no real means, as long as the user is indoors, to obtain this rst location with the required accuracy (a few centimeters), the pseudolite global system should provide this rst point This step can take quite a lot of time (10 20 minutes is a typical range of values) On the other hand, one could state that this is only needed for high accuracy indoor positioning, which is unlikely to be the typical pedestrian application for instance Thus, if a user requires centimeter accuracy, there is a time constraint in starting the process This can, however, still be acceptable.

This problem is compounded in OpenWrt because embedded systems have their own set of restrictions. Of the several webcam drivers in Linux, the driver for the SPCA5XX chips seems to have the best support under embedded Linux. This driver, called spca5xx, works well in more than 100 webcams, with new ones being added regularly. The author, Michel Xhaard, has even created an embedded version of the driver, called spca5xx_lite. This small driver is only for those webcams that support JPEG streaming, a feature where the camera does the JPEG compression and the driver needs to do very little to make an immediately viewable image. Currently, 83 webcams support this mode and thus are compatible with spca5xx_lite. This is the driver that is used here. If you re lucky, you have an old webcam sitting around that works with spca5xx. If not, there are many to choose from. One of the cheapest is the Creative Instant webcam (see Figure 15-7), available for about $25.

7 A typical high pseudolites based positioning system is provided in Fig 105, and positioning results are provided in Fig 106 In this speci c case, the pseudolites are installed outdoors, on the roof of the building One has to remember that this implantation allows one to reduce the discrepancies between the various distances from the pseudolites to the receiver, and thus reduce the near far effect The results obtained.

Figure 7.3. Time evolutions of (a) classi cation accuracy and (b) feature space dimensions when the chunk size L is set to 1, 10, and 20. The data set is

The DFNS [13] is a collaborative method for colocated Bluetooth and WLAN devices It aims to mitigate the effect of Bluetooth on WLAN It is primarily a physical layer solution By employing a Bluetooth receiver as part of the WLAN receiver, the WLAN receiver can obtain the hop frequencies, hop timing, and hop pattern of the Bluetooth transmitter Because WLAN occupies approximately 22 MHz bandwidth and Bluetooth occupies approximately 1 MHz bandwidth at each hop, the Bluetooth signal can be assumed as a narrowband interferer for WLAN Then WLAN can put a null in its receiver at the frequency of the Bluetooth signal in order to suppress the interference from Bluetooth The implementation of DFNS is described as follows Between the chipmatched lter and the pseudorandom noise (PN) correlator in the WLAN device, there is an adjustable transversal lter.

model illustrating the factors that may contribute to its development In conclusion, we summarize the main findings and make some final general research recommendations We hope that these concluding remarks, in addition to our critical review, will serve as a catalyst for a more programmatic, advanced study of this area The preponderance of research, particularly that done using matched samples and clinical interviews, suggests that athletes (particularly at the elite level) have slightly elevated levels of disordered eating in comparison to nonathletes Even so, additional prevalence research is needed that is population-based (or at least incorporates diverse samples), uses valid measures and clinical interviews when possible, includes non-elite-level athletes, and examines the experiences of males and athletes from a wider variety of racial and ethnic groups Athletes experience subclinical concerns at rates substantially higher than clinical disorders and thus should be a focus in future studies.

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