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An upper bound for probability of error related to a given decision region in N-dimensional signal set (Corresp.)

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1 Author(s)

An upper bound for the probability of error related to a given decision region, in an arbitrary N -dimensional signal set transmitted over a coherent Gaussian white noise channel, is described here. This bound is valid for any number of dimensions and for any closed decision region that satisfies a very weak condition.

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IEEE Transactions on Information Theory  (Volume:17 ,  Issue: 2 )