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Thelast rows of (6.32),and (6.33) respectively, show thatthe complete analysis filter bank can be realized by operating solely with the polyphase components, as depicted in Figure 6.9(b). The advantage of the polyphase realization compared to the direct implementation in Figure 6.9(a) is that only the required output values are computed.When looking at the first rows of (6.32) and (6.33) this soundstrivial, because theseequations are easily implemented anddonotproduce unneeded values. Thus, unlike in the QMF bank case, the polyphase realization does not necessarily lead to computational savings compared t o a proper direct implementation of the analysis equations. However, it allows simple filter design, gives more insight into the properties of a filter bank, and leads to efficient implementations based on lattice structures; see Sections 6.2.6 and 6.2.7. It is convenient to describe (6.32) and (6.33) in the z-domain using matrix notation: 2/P(Z) = E ( z )% ( z ) , (6.34) (6.35) (6.36)

502 502 505 505

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Figure 33-2: Select the columns in the table. 13. You now have several options depending on the query you want to create: If you click the Change Database button, you are offered the option of changing the data connection. You either repeat the process of creating a new data connection or use a different pre-existing data connection. If you click the Add Database button, you can select another table, which is in a child relationship to the parent table already selected. 14. You can then proceed to specify a relationship between the parent table and the child table, using the Edit Relationship dialog: If you click the Remove Database button, then the selected parent database is removed. To replace it, click the Add Database button and select it again or select an alternative database. If you click the Modify Database button, then you can sort the data to be retrieved from the selected database by the values in up to three columns. The check box in the lower part of the dialog controls whether or not you can retrieve multiple records from the table to be displayed in the form. If you click the Edit SQL button, you can see the T-SQL statement that InfoPath has created and can, with care, edit it if appropriate. The T-SQL statement can be tested using the Test SQL Statement button.

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The equivalent input voltage noise specitral density is obtained by replacing the i2 of Eq. 10.94 into Eq. 10.96:

40 15

Information Being Transmitted Telephone voice Web browsing Engineering data Entertainment video Corporate business data Bank nancial data Required BER 10

As the wireless propagation channel is time variant, signals that are received at different times are uncorrelated. For suf cient decorrelation, the temporal distance must be at least 1/(2 max ), where max is the maximum Doppler frequency. In a static channel, where neither transmitter (TX), RX, nor the IOs are moving, the channel state is the same at all times. Such a situation can occur, e.g., for WLANs. In such a case, the correlation coef cient is = 1 for all time intervals, and temporal diversity is useless. Temporal diversity can be realized in different ways: 1. Repetition coding: this is the simplest form. The signal is repeated several times, where the repetition intervals are long enough to achieve decorrelation. This obviously achieves diversity, but is also highly bandwidth inef cient. Spectral ef ciency decreases by a factor that is equal to the number of repetitions. 2. Automatic Repeat reQuest ( ARQ): here, the RX sends a message to the TX to indicate whether it received the data with suf cient quality (see Appendix 14.A at www.wiley.com/go/molisch). If this is not the case, then the transmission is repeated (after a wait period that achieves decorrelation). The spectral ef ciency of ARQ is better than that of repetition coding, since it requires multiple transmissions only when the rst transmission occurs in a bad fading state, while for repetition coding, retransmissions occur always. On the downside, ARQ requires a feedback channel. 3. Combination of interleaving and coding: a more advanced version of repetition coding is forward error correction coding with interleaving. The different symbols of a codeword are transmitted at different times, which increases the probability that at least some of them arrive with a good SNR. The transmitted codeword can then be reconstructed. For more details, see 14.

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