ロバスト適応トータル最小乗法による信号強調

概要

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An adaptive enhancement algorithm of signal disturbed by the impulse noise and the white Gaussian noise is proposed in this paper. If the strong dependence between signal enhancement and needed-parameter estimation exists in an algorithm, it is difficult to reduce a large bias occurring in the first estimation. To weaken their relationship, it is considered to introduce a total least squares (TLS) algorithm which estimates model parameters directly from disturbed signals. However, the TLS estimation accuracy is dramatically deteriorated by the impulse noise, even if the TLS estimation accuracy is held to the non-Gaussian noise in some degree. Hence, we ensure the robustness of the algorithm by replacing a high amplitude signal with an estimated value based on a likelihood ratio test. Using these signals, we develop an algorithm based on the TLS and the EM algorithm for enhancing the disturbed signal. We also show the effectiveness of the proposed algorithm through computer simulations.
社団法人日本音響学会の論文