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which can be seen as the summation of the prior information from the pulse detector, ~ (k) ~ (k) ~ (k) ln (bj ), and the soft information about bj , ln (bj ), which is obtained from the 1 2 information about the received samples other than rj(k) [32] In the next iteration, ~ (k) the soft information ln (bj ) is sent to the pulse detector, which is used as a priori 2 information about the jth pulse of user k Other Iterative Detectors Similar to the algorithm in Section 1331, when any kind of forward error correction (FEC) coding is applied to an IR-UWB system, iterative (turbo) multiuser detectors can be designed.

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IS_PTR and IS_OUT and has size sizeof( struct MyStruct), which would get us the data in the returned MyStruct, but then we wouldn t have the address of the structure so that we can free() it.

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A coded IR-UWB system can be considered to employ serial concatenated coding where the inner code is the spreading code inherently present in the system and the outer code is the FEC code [33] For such serially concatenated coding the iterative decoding between the inner and outer decoder results in additional coding gain by means of a SISO decoding algorithm [34, 35] Therefore, by applying various types of FEC coding, iterative receiver structures can be designed for IR-UWB systems [34, 36] 1034 Other Receiver Structures In addition to the previous receiver structures we have discussed, other MAI mitigating receiver designs are also possible for IR-UWB systems One way to mitigate MAI is to consider frequency-domain processing of the received signal.

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For example, in [39], the FT of the incoming signal is calculated, which transforms the delay estimation problem (assuming a PPM scheme) in the time domain to a phase detection problem in the frequency domain Therefore, a linear system model can be obtained, and typical linear receivers, such as the MMSE and decorrelating receivers, can be employed A large class of MAI mitigation schemes includes subtractive interference cancellation techniques, which are not mentioned in a separate section since there has not been any special application of them to IR-UWB systems; that is, the same techniques for CDMA systems can be directly adopted [19, 21, 37] The main idea behind the subtractive interference cancelation techniques is to estimate the MAI and to subtract it from the received signal There are different implementations of this idea depending on the performance and complexity issues.

In successive interference cancellation (SIC), the interference due to each user is estimated and subtracted from the received signal sequentially In its simplest form, the SIC receiver rst estimates the strongest signal by a conventional single-user receiver, and subtracts it from the received signal.

The assembly-descriptor section defines security roles and then details of the restrictions that apply. The methods of the entity bean are unrestricted (they can only be accessed via session beans). Some methods of the customer controller are generally available, while others are restricted to users in the Admin role:

Service record handle A32-bit number that uniquely identifies each service record within an SDP server. Service set identifier (SSID) An identifier attached to packets sent over the wireless LAN that functions as a password for joining a particular radio network (basic service set, BSS). All radios and access points within the same BSS must use the same SSID, or their packets will be ignored. Session layer One of the seven OSI model layers. Establishes, manages, and terminates sessions between applications. SFD SFR Start of frame delimiter. Single-frequency reuse.

(1) = (1) =

Table 13.3 Technical overview of the TETRA system Radio bands Uplink: 380 390 MHz 410 420 MHz 450 460 MHz 870 888 MHz 25 kHz Downlink: 390 400 MHz 420 430 MHz 460 470 MHz 915 933 MHz

be the only stable external cavity mode. Levine et al. state that their extensive asymptotic analysis, based on the ratio of the photon and carrier lifetimes, indicates that there is always a feedback phase condition where an optimised maximum gain mode is stable for arbitrarily large feedback levels. The feedback phase for these two modes are:

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