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The complex cepstrum of bicepstrum for system reconstruction with application to sEMG signal

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Date
2003
Abstract
Surface electromyography (sEMG) provides information about the performance of muscles and nerves. An sEMG signal can be modelled as a sum of filtered random impulse processes. The Bispectrum suppresses Gaussian noise and provides the system information only, however, a bispectrum based system reconstruction requires considerable computation. In this paper, we present a new approach to filter response reconstruction from the cepstrum of bispectrum which is computationally simple and performs better than other established methods.
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peer-reviewed
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Citation
Irish Signals and Systems Conference 2003 (ISSC'03;
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Electronic & Computer Engineering
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Walker_2003_Complex.pdf
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Keywords
system reconstruction, blind deconvolution, bispectrum, cepstrum, EMG
ULRR Identifiers
https://hdl.handle.net/10344/6756
 https://doi.org/10.34961/3630
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Sustainable Development Goals
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