For echo cancellation, a memoryimprovedproportionatem-estimateaffineprojectionalgorithm (mIP-mAPA) is proposed in which the m-estimator-based cost function containing the weighting matrix is minimised as the cos...
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For echo cancellation, a memoryimprovedproportionatem-estimateaffineprojectionalgorithm (mIP-mAPA) is proposed in which the m-estimator-based cost function containing the weighting matrix is minimised as the cost function and an efficient recursive implementation is applied according to the memory of the previous step-size control matrices. A test on echo cancellations under an impulsive noise environment showed that the proposed mIP-mAPA achieves improvement in steady-state misalignment compared with existing algorithms.
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