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To combat the distortive channel effects caused by frequency selectivity of fading channel in a multiple-input multiple-output (MIMO) scheme, a multichannel equalization is needed.
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Some related work has been done for direct estimation and decision feedback equalization in [32], but more investigation is needed to find solutions for inverse control.
However, sophisticated equalization techniques are needed for most SCM schemes in order to restore the distorted SCM signal after the transmission over the bandwidth-limited channels [8].
Uniform histogram equalization is applied to the cover image to generate a histogram equalization image.
Under the circumstances, the incomplete pressure equalization is responsible for the fluctuations in radiated sound power.
This method is useful when partial magnitude equalization is intended.
Actually, the wood size equalization is a recurrence in structure.
Equalization is performed by filters based on the MMSE criterion.
So something much more interesting than histogram equalization is going on.
Further equalization is possible by ensuring that quenching parameters are represented uniformly in a combinatorial fashion.
For both types, a histogram equalization is necessary to give the user a visual estimate of relative spot quantities.
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