Noise compensation using interacting multiple kalman filters
نویسندگان
چکیده
This paper presents an approach to compensate the effects of noise with an Interacting Multiple Model algorithm using Unscented Kalman Filters (IMM-UKF) in log-spectral domain. The performance of this approach is studied experimentally on a continuous digits recognition task with additive noise conditions and compared with results previously obtained by the implementation of the Interacting Multiple Model algorithm using Extended Kalman Filters (IMM-EKF) in log-spectral domain. Simulation results show that a better performance in terms of word recognition rates can be obtained with the suggested approach.
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