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By computing a truncated HOSVD of φ ( Z ), a real-valued subspace estimate is obtained as E ̂ s ( R + 1 ) T ∈ R M × d, where E ̂ s has the following form [10] E ̂ s = S ̂ Z s × 1 Ê 1 s × 2 Ê 2 s … × R Ê R s × R + 1 Σ ̂ s ′ − 1. (17).
As shown in [10], based on (3), we can define a tensor-based subspace estimate by computing a truncated Higher-Order SVD HOSVDD) [9], X ≈ S ̂ s × 1 Û 1 s × 2 Û 2 s … × R + 1 Û R + 1 s, (4).
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