Stefan Kindermann

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There are numerous applications of tensor analysis in signal processing, such as, blind multiuser separation-equalization-detection and blind identification. As the applicability of tensor analysis widens, the numerical techniques must improve to accommodate new data. We present a new numerical method for tensor analysis. The method is based on the iterated(More)
We consider the reconstruction of complex obstacles from few farfield acoustic measurements. The complex obstacle is characterized by its shape and an impedance function distributed along its boundary through Robin type boundary conditions. This is done by minimizing an objective functional, which is the L 2 distance between the given far field information(More)
SUMMARY We study the least-squares functional of the canonical polyadic tensor decomposition for third order tensors by eliminating one factor matrix, which leads to a reduced functional. An analysis of the reduced functional leads to several equivalent optimization problem, like a Rayleigh quotient or a projection. These formulations are the basis of(More)