TIHT with a relative-error CP approximation is shown to recover bounded-factor low CP-rank tensors under an exponentially strong tensor RIP, whose sample complexity is exponential.
Compressive multiplexing of correlated signals,
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Iterative Hard Thresholding for Low CP-rank Tensor Models
TIHT with a relative-error CP approximation is shown to recover bounded-factor low CP-rank tensors under an exponentially strong tensor RIP, whose sample complexity is exponential.