A Block Term Decomposition Model Based Algorithm for Tensor Completion of Multidimensional Harmonic Signals

We consider tensor data completion of an incomplete observation of multidimensional harmonic (MH) signals. Unlike existing tensor-based techniques for MH retrieval (MHR), which mostly adopt the canonical polyadic decomposition (CPD) to model the simple "one-to-one" correspondence among har...

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Veröffentlicht in:	Proceedings of the ... IEEE International Conference on Acoustics, Speech and Signal Processing (1998) S. 1 - 5
Hauptverfasser:	Wang, Lei, Gong, Xiao-Feng, Liu, Xi-Yuan, Feng, Wei, Lin, Qiu-Hua
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 06.04.2025
Schlagworte:	block term decomposition hankelization Harmonic analysis Minimization Multidimensional harmonic retrieval Numerical models Optimization Signal processing Signal processing algorithms Speech processing tensor completion Tensors Wireless communication Wireless sensor networks
ISSN:	2379-190X
Online-Zugang:	Volltext
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