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)


F. Waldmann, Ch. Baeriswyl, R. Andonie, R. Wildhaber, “Onset Detection of Pulse-Shaped Bioelectrical Signals Using Linear State Space Models”, (accepted for BMT2022, Austria)


R. A. wildhaber, E. Ren, F. Waldmann, and H.-A. Loeliger, “Signal Analysis Using Local Polynomial Approximations,” EUSIPCO 2020


R. A. Wildhaber, N. Zalmai, M. Jacomet, and H.-A. Loeliger, “Windowed statespace filters for signal detection and separation,” IEEE Transactions on Signal Processing, vol. 66, no. 14, pp. 3768–3783, 2018, issn: 1053-587X. doi: 10.1109/TSP.2018.2833804. [Online]. Available:


R. A. Wildhaber, “Localized State Space and Polynomial Filters with Applications in Electrocardiography”, Hartung-Gorre-Verlag Konstanz, issn: 1616-671X, 2019. [Online] Available:


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:


H.-A. Loeliger, L. Bruderer, H. Malmberg, F. Wadehn, and N. Zalmai, “On Sparsity by NUV-EM, Gaussian Message Passing, and Kalman Smoothing”, CoRR, vol. abs/1602.02673, 2016. arXiv: 1602 . 02673. [Online]. Available: