A Robust Total Least Mean M-Estimate Adaptive Algorithm for Impulsive Noise Suppression

IEEE Transactions on Circuits and Systems Ii-express Briefs（2020）

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摘要

The errors-in-variables (EIV) model is widely used in linear systems where both input and output signals are contaminated with noise. For the parameter estimation in the EIV model, the adaptive filtering algorithm using total least squares (TLS) approach has shown better performance than classical least squares (LS) approach. However, the TLS approach which is based on minimizing the mean squared ...

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关键词

Adaptation models,Signal processing algorithms,Stability analysis,Computational complexity,Convergence,Cost function

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