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May enhance LMS filtering for impedance cardiography; leaves open clinical validation in patient data.
The mean-squared error (MSE) behavior for Fourier linear combiner (FLC)-based filters is analyzed, using the independence assumption. The advantage of this analysis is its simplicity compared with previous results. The MSE transient behavior for this kind of filters is also presented for the first time. Moreover, a time-varying sequence for the least mean square (LMS) algorithm step-size is proposed to provide fast convergence with small misadjustment error. It is shown that for this sequence, the MSE behaves better as the input signal-to-noise ratio (SNR) decreases, but increases with the number of harmonics. Lastly, we make a brief analysis on the nonstationary behavior of these filters, and again we find simple expressions for the MSE behavior.
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Barros et al. (1997) studied this question.
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