Title :
Capacity and error exponents of a channel modeled as a linear dynamic system (Corresp.)
Author :
Toms, W. ; Berger, T.
fDate :
1/1/1973 12:00:00 AM
Abstract :
Expressions are obtained for the capacity and error exponents of a channel modeled as a linear dynamic system with additive Gaussian noise. The derivations are based on a procedure for determining the asymptotic distribution of the eigenvalues of a sequence of almost cyclic matrices of matrices.
Keywords :
Additive noise; Artificial intelligence; Computer errors; Computer simulation; Eigenvalues and eigenfunctions; Equations; Gaussian noise; Maximum likelihood estimation; Vectors; Viterbi algorithm;
Journal_Title :
Information Theory, IEEE Transactions on
DOI :
10.1109/TIT.1973.1054937
