MARKOV SOURCE (mth order) 2)
← Back
"An alphabet of events in which the probability of occurence of a given number of the alphabet is a function of the m preceeding occurences" (K. SAYRE, 1976, p.29)
This is the generalized case of the first-order MARKOV source, "one in which the identity of each successive event (each output event) is a probabilistic function of the event immediately preceeding (a specific input-event)".
K. SAYRE adds: "The mutual convertibility of a single alphabet information channel (a cascade of channels) with its corresponding MARKOV source is guaranteed by the fact that both can be completely characterized by a conditional probability matrix of the same basic form" (p.29-30).
Categories
- 1) General information
- 2) Methodology or model
- 3) Epistemology, ontology and semantics
- 4) Human sciences
- 5) Discipline oriented
Publisher
Bertalanffy Center for the Study of Systems Science(2020).
To cite this page, please use the following information:
Bertalanffy Center for the Study of Systems Science (2020). Title of the entry. In Charles François (Ed.), International Encyclopedia of Systems and Cybernetics (2). Retrieved from www.systemspedia.org/[full/url]
We thank the following partners for making the open access of this volume possible: