Abstract
An overview of modern tensor based methods for multi-dimensional signal processing is presented. Special focus is laid on recent achievements in signal change detection, as well as on efficient methods of their compression based on various tensor decompositions. Apart from theory, applications as well as implementation issues are presented as well.
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This work was supported by the National Science Centre, Poland, under the grant NCN no. 2016/21/B/ST6/01461.
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Cyganek, B. (2020). Overview of Tensor Methods for Multi-dimensional Signals Change Detection and Compression. In: Choraś, M., Choraś, R. (eds) Image Processing and Communications. IP&C 2019. Advances in Intelligent Systems and Computing, vol 1062. Springer, Cham. https://doi.org/10.1007/978-3-030-31254-1_1
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