Title :
Transmission of a slowly varying Markov signal over memoryless channels
Author :
Pinsker, Mark S. ; Prelov, Viacheslav V. ; Van der Meulen, Edward C.
Author_Institution :
Inst. of Inf. Transmission Problems, Acad. of Sci., Moscow, Russia
Abstract :
Information rates in certain discrete-time, memoryless, stationary channels with additive non-Gaussian noise and slowly varying input signal are investigated. Under the assumption that the input signal is a stationary Markov chain with rare transitions, it is shown that the information rate is asymptotically equivalent to the entropy of the chain and, therefore, the main term of its asymptotics does not depend on the channel noise
Keywords :
Markov processes; discrete time systems; entropy; memoryless systems; noise; time-varying channels; additive nonGaussian noise; asymptotics; channel noise; discrete-time memoryless stationary channels; entropy; information rates; memoryless channels; rare transition; slowly varying Markov signal; slowly varying input signal; stationary Markov chain; Additive noise; Entropy; H infinity control; Hidden Markov models; Information rates; Mathematics; Memoryless systems; Mutual information; Signal analysis; Signal processing;
Conference_Titel :
Information Theory, 2000. Proceedings. IEEE International Symposium on
Conference_Location :
Sorrento
Print_ISBN :
0-7803-5857-0
DOI :
10.1109/ISIT.2000.866786
