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Within the Car class, a static property, $numberSold, is declared and also initialized to 123. Then, outside the class definition, the static property is incremented and its new value, 124, is displayed. Static properties are useful when you want to record a persistent value that s relevant to a particular class, but that isn t related to specific objects. You can think of them as global variables for classes. The nice thing about static properties is that code outside the class doesn t have to create an instance of the class that is, an object in order to access the property.

PyThreadState_New(PyInterpreterState *interp) creates a new thread state structure. The interp argument is the current interpreter s state, which is accessible as the interp variable of any thread state structure. Call PyThreadState_Get() to get a pointer to the current thread state. Although you

Figure B10.2. Frontier orbitals of a C H bond in cubane. The high s character of the C orbital leads to a lower energy sCH .

Discard Timer (DT) New HSDPA QoS can be set per PDP context Scheduling Priority Indicator (SPI) Guaranteed bit rate requirement (GBR) Allocation retention priority (ARP): known at MAC-hs Traditional QoS parameters Feedback measurements that RNC can use to monitor MAC-hs performance Traffic handling priority (THP): NOT know at MAC-hs Traffic class (TC): NOT known at MAC-hs Non HSDPA power measurement HS-DSCH provided bit rate per SPI HS-DSCH required power (the power to fulfil GBR) MAC-hs scheduling based on these parameters

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intelligence are also subject to errors, although the DoA error was greatly reduced in these cases For the optimal combining and AUC algorithms, a cause of DoA error is the imperfect cross-correlation of the GSM training sequence of the received user s signal and the reference signal In the case of the MUSIC algorithm, the wanted signal is assigned as the initial signal received at the beamformer, with all others being assigned as interferers Thus, once the tracking algorithm has become confused (for instance, wanted and interference signal not sufficiently angularly separated), incorrect signal assignment can result in a DoA error, and in the worst case the MS can be tracked (and nulled) as an interferer Figure 69 shows the estimated wanted user and GPS DoAs for the maximal ratio combining (MRC), grid of beams (GOB), optimal combining (OPT) and the Aalborg (AUC) algorithms.

The different path conventions that operating systems follow can make path manipulation a nuisance. Fortunately Python has plenty of routines to help.

FIGURE 7.24 Measured return loss for the antenna shown in Figure 7.23; h = 16.8 mm, D = 70 mm, L = 25 mm, W = 5.2 mm, S = 10 mm, dc = 17 mm, d = 5 mm, g = 2 mm, and ground-plane size = 150 150 mm2 . (From Ref. 18, C 2000 John Wiley & Sons, Inc.)

The approximate interference DoA is also shown (+4 ) Gaps in the wanted user DoA estimate represent periods when the call was not maintained As can be seen, for the MRC and GOB curves the MS DoA has a substantial proportion of its values on (or around in the case of GOB) the interference location, thus indicating an incorrect main beam assignment As explained above this is to be expected in negative CIR conditions, where the mobile is in a fade for instance However, it can also be seen that the optimal combining algorithm has a significant proportion of its MS DoA estimates around the interference location This is the result of imperfect cross-correlation properties of the wanted and reference signal.

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The AUC algorithm, which also uses the GSM training sequence (to select a main beam direction), has only a small proportion of its measurements allocated to the incorrect signal DoA This is principally due to the averaging employed in the algorithm and thus, in this particular interference scenario, represents an improvement over the optimal combining algorithm in terms of reduced DoA error In the case of the MUSIC algorithm, the Kalman filtering employed in the tracking allows the tracking of more than one signal source It can be seen from figure 610, that until the angular separation between the wanted and interferer signals is less than approximately 8 O , the algorithm successfully tracks both signals However, once the angular separation is too small, the algorithm becomes confused, leading eventually to the MS being tracked (and thus nulled) as an interferer.

Calculation of Required Amount of Air for Complete Combustion sample chemical reaction equations are:

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