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Statistical Significance of Gabor Frames Expansions: Simple Filtering Principles for Radar Wind Profiler Data

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Book cover Progress in Industrial Mathematics at ECMI 2008

Part of the book series: Mathematics in Industry ((TECMI,volume 15))

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Summary

A new signal processing method is presented for the suppression of intermittent clutter echoes in radar wind profilers. The technique presented makes use of a discrete Gabor frame expansion in combination with a statistical significance test. The rationale of this algorithm is outlined and an example using data obtained with an operational 482 MHz wind profiler is given.

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References

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Authors and Affiliations

  1. University of Applied Sciences Neubrandenburg, Institute for Computational Mathematics in Science and Technology, Brodaer Str. 2, 17033, Neubrandenburg, Germany

    G. Teschke

  2. Junior Konrad-Zuse-Fellow, Zuse Institute Berlin (ZIB), Takustr. 7, 14195, Berlin, Germany

    G. Teschke & V. Lehmann

  3. Deutscher Wetterdienst, Meteorologisches Observatorium Lindenberg, D-15848, Lindenberg, Germany

    G. Teschke & V. Lehmann

Authors
  1. G. Teschke
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  2. V. Lehmann
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Corresponding author

Correspondence to G. Teschke .

Editor information

Editors and Affiliations

  1. School of Mathematics, University of Southampton, Southampton, SO17 1BJ, United Kingdom

    Alistair D. Fitt

  2. Mathematical Institute, University of Oxford, St. Giles 24-29, Oxford, OX1 3LB, United Kingdom

    John Norbury

  3. Mathematical Institute, Ctr for Industrial & Applied Mathematics, University of Oxford, St. Giles 24-29, Oxford, OX1 3LB, United Kingdom

    Hilary Ockendon

  4. Dept. Engineering Mathematics, University of Bristol, University Walk, Bristol, BS8 1TR, United Kingdom

    Eddie Wilson

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Teschke, G., Lehmann, V. (2010). Statistical Significance of Gabor Frames Expansions: Simple Filtering Principles for Radar Wind Profiler Data. In: Fitt, A., Norbury, J., Ockendon, H., Wilson, E. (eds) Progress in Industrial Mathematics at ECMI 2008. Mathematics in Industry(), vol 15. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12110-4_47

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