Error intervals and cluster density in channel modeling (corresp.)
JP Adoul - IEEE Transactions on Information Theory, 1974 - ieeexplore.ieee.org
JP Adoul
IEEE Transactions on Information Theory, 1974•ieeexplore.ieee.orgThis correspondence is concerned with binary processes and presents results with
immediate applications in the modeling of digital channels for the purpose of evaluating
code performance. It is demonstrated that cluster density can be analytically described from
the distributions of intervals between errors. These relations and derived clustering
properties hold for any stationary process. Analyses of real error data exemplify the use of
these results in regard to channels having dependent inter-error intervals.
immediate applications in the modeling of digital channels for the purpose of evaluating
code performance. It is demonstrated that cluster density can be analytically described from
the distributions of intervals between errors. These relations and derived clustering
properties hold for any stationary process. Analyses of real error data exemplify the use of
these results in regard to channels having dependent inter-error intervals.
This correspondence is concerned with binary processes and presents results with immediate applications in the modeling of digital channels for the purpose of evaluating code performance. It is demonstrated that cluster density can be analytically described from the distributions of intervals between errors. These relations and derived clustering properties hold for any stationary process. Analyses of real error data exemplify the use of these results in regard to channels having dependent inter-error intervals.
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