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Statistical analysis of power spectra of signals governed by Markov chains

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2 Author(s)
Lev-Ari, H. ; Dept. of Electr. & Comput. Eng., Northeastern Univ., Boston, MA, USA ; Stankovic, A.M.

The paper presents a novel derivation of the average autocorrelation and the average power spectrum for Markov renewal processes. Motivated by a practical problem arising in randomized switching in power electronic circuits, we provide a linear filtering interpretation of the process that forms continuous switching waveforms by concatenation of segments that are associated with various states of a Markov chain. This new, streamlined derivation of formulas for autocorrelation and power spectrum is of interest for optimized synthesis of randomized switching waveforms.

Published in:

Circuits and Systems, 2002. ISCAS 2002. IEEE International Symposium on  (Volume:4 )

Date of Conference:

2002