Identification capacity of ISI Gaussian channels permits super-exponential message growth ~2^(n log n R) even when ISI taps scale as n^κ for κ in [0, 1/2).
Deterministic Identification For MC Binomial Channel,
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Identification capacity bounds for colored Gaussian channels with polynomially bounded noise spectrum and sub-linear ISI memory allow super-exponential codebook growth of order 2^(n log n R).
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Identification for ISI Gaussian Channels
Identification capacity of ISI Gaussian channels permits super-exponential message growth ~2^(n log n R) even when ISI taps scale as n^κ for κ in [0, 1/2).
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Identification for Colored Gaussian Channels
Identification capacity bounds for colored Gaussian channels with polynomially bounded noise spectrum and sub-linear ISI memory allow super-exponential codebook growth of order 2^(n log n R).