Unformatted text preview: gives a useful relationship between the DFTs of y [ n ], x [ n ] and h [ n ]. When y [ n ] is passed through the CP block of Figure 3, the CP of y [ n ] (for α ≤ n < 0) gets removed. This results in N timedomain symbols whose DFT is Y [ k ] = H[ k ]X[ k ] in the absence of noise (as was explained in the previous paragraph). These timedomain symbols are sent through the serialtoparallel converter and then passed through an FFT block. The outputs of the FFT block are the Y [ k ] samples, which are nothing but the scaled versions of the original symbols X [ k ] (over here, the scaling is H [ k ] because Y [ k ] = H[ k ]X[ k ] according to equation E9). Since H [k] is the channel gain associated with the k th subcarrier, each H [ k ] can be estimated...
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 Spring '09
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 Digital Signal Processing, infinite number, Circular convolution

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