A simple formula for the power spectral density of a pulse train generated by a finite Markov chain is given. It contains neither an infinite series of matrices nor an inverse matrix and a tedious calculation can be dispensed with. A similar formula for the case of a periodic Markov chain is also given.
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Hiroshi SUGIYAMA, "A General Formula for the Power Spectrum of a Pulse Train Generated by a Finite Markov Chain" in IEICE TRANSACTIONS on transactions,
vol. E66-E, no. 2, pp. 155-156, February 1983, doi: .
Abstract: A simple formula for the power spectral density of a pulse train generated by a finite Markov chain is given. It contains neither an infinite series of matrices nor an inverse matrix and a tedious calculation can be dispensed with. A similar formula for the case of a periodic Markov chain is also given.
URL: https://global.ieice.org/en_transactions/transactions/10.1587/e66-e_2_155/_p
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@ARTICLE{e66-e_2_155,
author={Hiroshi SUGIYAMA, },
journal={IEICE TRANSACTIONS on transactions},
title={A General Formula for the Power Spectrum of a Pulse Train Generated by a Finite Markov Chain},
year={1983},
volume={E66-E},
number={2},
pages={155-156},
abstract={A simple formula for the power spectral density of a pulse train generated by a finite Markov chain is given. It contains neither an infinite series of matrices nor an inverse matrix and a tedious calculation can be dispensed with. A similar formula for the case of a periodic Markov chain is also given.},
keywords={},
doi={},
ISSN={},
month={February},}
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TY - JOUR
TI - A General Formula for the Power Spectrum of a Pulse Train Generated by a Finite Markov Chain
T2 - IEICE TRANSACTIONS on transactions
SP - 155
EP - 156
AU - Hiroshi SUGIYAMA
PY - 1983
DO -
JO - IEICE TRANSACTIONS on transactions
SN -
VL - E66-E
IS - 2
JA - IEICE TRANSACTIONS on transactions
Y1 - February 1983
AB - A simple formula for the power spectral density of a pulse train generated by a finite Markov chain is given. It contains neither an infinite series of matrices nor an inverse matrix and a tedious calculation can be dispensed with. A similar formula for the case of a periodic Markov chain is also given.
ER -