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In many filter applications the exact steering vector is not know, and thus, robust beamforming methods have to be used. In this contribution, an algorithm which achieves robust beamforming via target tracking is proposed. In contrast to existing approaches, the algorithm works on sparse signals with arbitrary steering vector shapes, and the parameters of the algorithm are adapted in an optimal way...
In the case of extracellular recordings, spike detection algorithms are necessary in order to retrieve information about neuronal activity form the data. We present a new spike detection algorithm which is based on methods from the field of blind equalization and beamforming. In contrast to existing approaches, our method estimates several waveforms directly from the data and corresponding linear...
Extracellular recordings are a key tool to record the activity of neurons in vivo. Especially in the case of experiments with behaving animals, however, the tedious procedure of electrode placement can take a considerable amount of expensive and restricted experimental time. Furthermore, due to tissue drifts and other sources of variability in the recording setup, the position of the electrodes with...
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