9,318 research outputs found
Methods of power line interference elimination in EMG signals
Electromyogram (EMG) recordings are often corrupted by the wide range of artifacts, which one of them is power line interference (PLI). The study focuses on some of the well-known signal processing approaches used to eliminate or attenuate PLI from EMG signal. The results are compared using signal-to-noise ratio (SNR), correlation coefficients and Bland-Altman analysis for each tested method: notch filter, adaptive noise canceller (ANC) and wavelet transform (WT). Thus, the power of the remaining noise and shape of the output signal are analysed. The results show that the ANC method gives the best output SNR and lowest shape distortion compared to the other methods.Web of Science40706
Unit circle MVDR beamformer
The array polynomial is the z-transform of the array weights for a narrowband
planewave beamformer using a uniform linear array (ULA). Evaluating the array
polynomial on the unit circle in the complex plane yields the beampattern. The
locations of the polynomial zeros on the unit circle indicate the nulls of the
beampattern. For planewave signals measured with a ULA, the locations of the
ensemble MVDR polynomial zeros are constrained on the unit circle. However,
sample matrix inversion (SMI) MVDR polynomial zeros generally do not fall on
the unit circle. The proposed unit circle MVDR (UC MVDR) projects the zeros of
the SMI MVDR polynomial radially on the unit circle. This satisfies the
constraint on the zeros of ensemble MVDR polynomial. Numerical simulations show
that the UC MVDR beamformer suppresses interferers better than the SMI MVDR and
the diagonal loaded MVDR beamformer and also improves the white noise gain
(WNG).Comment: Accepted to ICASSP 201
Digital filter design using root moments for sum-of-all-pass structures from complete and partial specifications
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