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Reference noise cancellation: Optimizations and Caveats

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Abstract

Reference noise cancellation algorithms theoretically allow the removal of external noise from biomagnetic measurements without attenuation of signal components in the same frequency band. The technique requires reference sensors that are insensitive to the biomagnetic signals of interest, yet subject to the same environmental noise. conditions. By estimating the correlation between reference (e.g. distant magnetometers) and measurement (e.g. gradiometer) Channels it is possible to form a prediction of the measurement Channel based on reference Channel Information; this prediction is defined as noise and subtracted from the data. The filters considered in this paper predict the measurement channel from the superposition of linearly weighted reference Channels; the weights are determined through a least squares minimization of the filter Output power.

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References

  1. Widrow B., Glover J.R., McCool J.M., Kaunitz J., Williams C.S., Hearn R.H., Zeidler J.R., Dong E., Goodlin R.C. Proc IEEE, 1975, 6: 1692–1716.

    Article  Google Scholar 

  2. Widrow B., McCool J., Larimore M.G., Johnson C.R. Proc IEEE 1976, 64: 1151–1162.

    Article  MathSciNet  Google Scholar 

  3. Robinson S.E. In: Williamson S.J., Hoke M., Stroink G., Kotani M. Advances in Biomagnetism, 1989, New York, Plenum Press.

    Google Scholar 

  4. Porat B., Digital Processing of Random Signals, Prentice Hall, Engelwood Cliffs, NJ, 1993.

    Google Scholar 

  5. Candy J.V., Signal Processing: the model based approach, McGraw-Hill 1986.

    Google Scholar 

  6. Press H., Teukolsky S.A., Vetterling W.T., Flannery B.P., Numerical Recipes in Fortran, Cambridge University Press, 1922.

    Google Scholar 

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© 2000 Springer Science+Business Media New York

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Barnes, G.R., Ioannides, A.A. (2000). Reference noise cancellation: Optimizations and Caveats. In: Aine, C.J., Stroink, G., Wood, C.C., Okada, Y., Swithenby, S.J. (eds) Biomag 96. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-1260-7_2

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  • DOI: https://doi.org/10.1007/978-1-4612-1260-7_2

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4612-7066-9

  • Online ISBN: 978-1-4612-1260-7

  • eBook Packages: Springer Book Archive

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