Reduced-Dimension Linear Transform Coding of Distributed Correlated Signals With Incomplete Observations
We study the problem of optimal reduced-dimension linear transform coding and reconstruction of a signal based on distributed correlated observations of the signal. In the mean square estimation context this involves finding the optimal signal representation based on multiple incomplete or only partial observations that are correlated. In particular, this leads to the study of finding the optimal Karhunen-Loève basis based on the censored observations. The problem has been considered previously...[Show more]
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|Source:||IEEE Transactions on Information Theory|
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