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$ cat RFI_Tel3 /root/RFI_et_al_Tel#s 2>&1 > combo<Enter> cat: /root/RFI_et_al_Tel#s: Permission denied

Figure 7.11 Complex form of optimum receiver for known phases, but unknown amplitudes and delays: Rayleigh fading, two-symbol observation (conventional differentially coherent detection).

The goal in Step 8 is to remove any stray bookmarks. If any bookmarks linger, you will get duplicate bookmarks as the procedure loops through each cell.

In this chapter, you learned how JavaScript handles errors using the onerror event handler, the Error object, the throw statement, and the try...catch...finally block. The chapter began with an introduction on how and why errors generate in a program. It then progressed with an explanation on how the error event provides the capability of handling errors that are related with loading of images and documents. The chapter discussed that JavaScript provides the onerror event handler to handle the error event.

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(10.24) where Ik ( ) is the kth-order modi ed Bessel function. Note that both mD = 1 for Nakagami fading and KD = 0 for Rician fading lead to the Rayleigh case with the PDF given by pSD (SD ) = exp( SD / D )/ D . Similar to our treatment of interference-limited systems, we again assume for NI analytical tractability that the power of the NI active interfering signals {Si }i=1 are i.i.d. with the same short-term average fading power I and subject to Nakagami (with Nakagami parameter mI ) or Rician (with Rician factor KI ) type of fading. The PDF of the interfering signal pSi (Si ) is of the same form as in (10.23) and (10.24) for the desired signals, but with different parameters. Also, we again assume that the co-channel interfering signals add up incoherently since this leads to a more realistic assessment of the co-channel interference in cellular systems [28]. As such, under this assumption, the total instantaneous interference power SI is just the sum of the instantaneous powers of the NI active interferers: SI = NI Si . i=1 10.2.1.2 Outage Probability De nition In the systems that are both interference-limited and power limited, an outage is declared when either the CIR = SD /SI falls below a predetermined protection

In the example shown in Figure 17.8, the caller may be on a 2G mobile network and the mobile/2G-Internet gateway is not shown here for simplicity. The called party is deaf and decides to invoke a relay service. SIP third-party call control is used on the IP side of the gateway. The call flow messages in Figure 17.8 is: 1. Caller A sends send an INVITE to B and the SDP A data payload indicates its connection data (where it expects the media streams) and its media capabilities.

One problem with the value-added decomposition is that the analysis is performed one factor at a time. In other words we can perform the analysis by country or by sector or by P/E range, but for each analysis we will get a separate set of management effects that cannot be combined together. One way to deal with this problem is to perform a separate attribution analysis for each effect, and rank the results according to their contribution to return. For example, we can perform the single level analysis by country and also by P/E range, rank the results, and see that, for example, asset allocation to Canada and security selection within value stocks contributed more to value added than other effects. Another approach is to decompose the return of each security into multiple factors and then aggregate the results to the portfolio level. A multifactor model is a statistical model of security behavior within a particular market. The model decomposes individual security returns into a set of factor exposures. The multifactor model is a regression equation that describes the way a particular security reacts to industry sector, stock fundamental, macroeconomic, and market in uences. For example, an equity multifactor model captures the sources of equity returns by factors including interest rates, industry, market cap, P/B ratio, P/E ratio, price volatility, and the like. The multifactor model is an equation like Equation (18.12), where the Beta coef cients are the sensitivities of the security returns to the factors. R i = B 1 F 1 + B 2 F 2 + B N F N (18.12)

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