Bayesian Multichannel Tracking of a Periodic Signal
نویسندگان
چکیده
The problem of estimating and tracking the fundamental frequency of a periodic signal is formulated in Bayesian terms and a solution is proposed. For multichannel measurements both simulated and experimental data show that the estimate improves when more data channels are used for the estimation. The method is tested on a multichannel vibration measurement from the interior of a passenger car. From the measurements the running speed of the engine is successfully estimated during a run-up/down experiment.
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