Bibliography#
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C. Baeriswyl, A. Bertrand, and R. A. Wildhaber, “Windowed State Space Filters for Peak Interference Suppression in Neural Spike Sorting”, 30th European Signal Processing Conference (EUSIPCO 2022), Belgrad, Spain. (accepted)
- Waldmann2022
F. Waldmann, Ch. Baeriswyl, R. Andonie, R. Wildhaber, “Onset Detection of Pulse-Shaped Bioelectrical Signals Using Linear State Space Models”, (accepted for BMT2022, Austria)
- Wildhaber2020
R. A. wildhaber, E. Ren, F. Waldmann, and H.-A. Loeliger, “Signal Analysis Using Local Polynomial Approximations,” EUSIPCO 2020
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R. A. Wildhaber, “Localized State Space and Polynomial Filters with Applications in Electrocardiography”, Hartung-Gorre-Verlag Konstanz, issn: 1616-671X, 2019. [Online] Available: https://www.research-collection.ethz.ch/bitstream/handle/20.500.11850/357916/thesis-book-final.pdf?sequence=1&isAllowed=y
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N. Zalmai, “A State Space World for Detecting and Estimating Events and Learning Sparse Signal Decompositions”, Hartung-Gorre-Verlag Konstanz, issn: 1616-671X, 2017. [Online] Available: https://www.research-collection.ethz.ch/bitstream/handle/20.500.11850/176652/zalmai_thesis.pdf?sequence=1&isAllowed=y
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