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The complexity of the channel estimation algorithm varies.
We ignore the complexity of the channel recoding at probability domain.
Also, the modulated signal passing through filter could introduce ISI and increase the complexity of the channel equalization.
The upper limit depends upon the complexity of the Channel coefficient generation algorithm and number of taps.
Indeed, the computational complexity of the channel estimator can be highly reduced by extracting a subvector of before channel estimation [21].
The complexity of the channel estimation model is reduced by placing the estimation taps in equi-spaced or periodic delay positions.
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This was, and still is, varying according to picture complexity (of the watched channel but also of the other BBC HD channel and the encrypted ITV-1 channel on the transponder).
To protect implicitly our ISF coders, we developed a stochastic joint source-channel coding system based on a reduced complexity version of the channel optimized SSVQ technique.
The influence of the number of multipath components is as follows: The complexity of the soft channel parameter estimator increases with the number of multipath components.
Due to the complexity of the indoor channel environment, it is very difficult to estimate TOA accurately using traditional curve-fitting methods.
We compare the computational complexity of the proposed channel shortening equalizer using a front-end feed forward equalizer (CSFFE) and a front-end decision feedback equalizer (CSDFE) with those of VE in Figures 7, 8, and 9.
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