Estimation of Acoustic Channel Impulse Response at Low Frequencies Using Sparse Bayesian Learning for Nonuniform Noise Power
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DOI: 10.1109/access.2022.3206811
Abstract: Sparse Bayesian learning (SBL) has been extended to estimate acoustic channel impulse responses (CIRs) at low frequencies, where matched filter (MF)-based CIR estimation suffers from low resolution due to a limited frequency band. In this… read more here.
Keywords: extended sbl; acoustic channel; sbl; estimation ... See more keywords