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In[4], another iterative approach based on channel orthogonalization and local refinement is developed, and it provides attractive performance compared to the methods in[2] and[3].
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This scheme was based on channel access time.
This study is based on channel access time.
The best available channel, based on the channel reassignment criteria, is reassigned to this call.
We propose an accuracy transmission estimation method based on bright channel prior and dark channel prior.
They are based on recursive channel elimination to keep only channels with appreciated magnitude.
We developed new algorithm ADA (Arc Detection Algorithm) based on visual channel selection to determine quickly optimal channel subset.
As a result, the channel condition table (CCT) is created based on this channel condition.
Optimization based on varying channel has better total performance than mean SNR channel.
Channel parameters retrieved from measurements are presented and analyzed based on generic channel models.
The identification scheme is based on a Choleski orthogonalization of the shocks.
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