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We can see from Fig. 11.7 that the performance penalty 10 log10(g/ge) due to imperfect CSI is about 0.5 dB in the range of interest for the MB-OFDM system. The actual loss in Es =N is slightly different since g in Fig. 11.7 is for a 0 xed lognormal shadowing, and the actual Es =N loss must be obtained by 0 averaging over the lognormal pdf. However, we can see from Fig. 11.7 that the SNR loss is relatively constant for relevant values of g, which (since the lognormal shadowing has a 0-dB mean), results in E s =N loss of approximately 0 10 log10(g/ge). Reducing the channel estimation overhead to P = 1 (Z = 0.25) could be an interesting alternative for short packets, as the additional loss is only about 0.5 dB (in terms of required energy per information bit Eb the loss is even smaller). Further reduction of pilot tones is not advisable as the gains in throughput are outweighed by the losses in power ef ciency.



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Once upon a time on the Web, you had to wait for an image to finish loading before you knew what it was. Today, you can save your files using the progressive JPEG format or the interlaced GIF format and watch the image come into focus as it loads. The advantage to this approach is a visitor to your site knows roughly what an image is before the entire image has downloaded. If download times are long, say, due to a poor Internet connection, the visitor to the site can actually take a link off the page before the image has finished loading without having missed anything. Finally, these two image formats are good because the visitor participates in the download time. Instead of waiting for the page to download sitting idly by the visitor waits for the page to download while watching the images become clearer. This is more of a reward for waiting and less of a sense of waiting for the visitor. The sense of coming into focus that these types of images provide is the result of the way the images are stored. Progressive JPEGs and interlaced GIFs download only every eighth line at first, then every fourth line, then every second line, and then, finally, the odd-numbered lines. The result is the image goes from blurry to focused. You create a progressive JPEG or an interlaced GIF by saving it into this format. In Photoshop, when you save a file as a GIF file, it asks you whether you want the file to be normal or interlaced (see Figure 37-12). Freeware packages are also available that convert your regular JPEGs and GIFs into progressive JPEGs and interlaced GIFs.





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Syndrome vector components can be calculated by replacing the variable X with the different roots i , i = 1, 2, , 2t, in the expression of the received polynomial r (X ) As both RS and BCH codes are linear, the syndrome depends only on the error event Assume that the error pattern contains errors in positions X j1 , X j2 , , X j , so that the error pattern in polynomial form is e(X ) = X j1 + X j2 + + X j Since syndrome components can be evaluated as a function of the error pattern, s1 = j1 + j2 + + j s2 = ( j1 )2 + ( j2 )2 + + ( j )2 s2t = ( j1 )2t + ( j2 )2t + + ( j )2t The ji values are unknown.

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Any algorithm able to nd a solution to this system of equations can be considered as a decoding algorithm for BCH codes Equation (19) is the equivalent system of equations for RS codes A procedure to calculate values j1 , j2 , , j allows us to determine the error positions j1 , j2 , , j which in the case of binary BCH codes constitute enough information to perform error correction The so-called error-location numbers are usually de ned as i = ji By using this de nition the system of equations (41) looks like the system of equations (24) of 4 Indeed, in the case of binary BCH codes, coef cients eji are all equal to unity, e ji = 1, giving s 1 = 1 + 2 + + s2 = ( 1 )2 + ( 2 )2 + + ( )2 .

s2 t = ( 1 )2t + ( 2 )2t + + ( )2t The error-location polynomial can have a slightly different de nition with respect to expression (22), which is the following: BM (X ) = (1 + 1 X )(1 + 2 X ) (1 + X ) = + 1 X + + X.

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