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• W2049616498 abstract "We present a framework for Tensor-based subspace Tracking via Kronecker-structured projections (TeTraKron). TeTraKron allows to extend arbitrary matrix-based subspace tracking schemes to track the tensor-based subspace estimate. The latter can be computed via a structured projection applied to the matrix-based subspace estimate which enforces the multi-dimensional structure in a computationally efficient fashion. This projection is tracked by considering all matrix rearrangements of the signal tensor jointly, which can be efficiently realized via parallel processing. In time-varying scenarios, the TeTraKron-based tracking schemes outperform the original algorithms as well as the batch solutions provided by the SVD and the HOSVD." @default.
• W2049616498 created "2016-06-24" @default.
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• W2049616498 date "2013-12-01" @default.
• W2049616498 modified "2023-09-30" @default.
• W2049616498 title "Tensor subspace tracking via Kronecker structured projections (TeTraKron)" @default.
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• W2049616498 doi "https://doi.org/10.1109/camsap.2013.6714045" @default.
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