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We propose here a robust reconstruction method that is based on subspace minimization techniques.
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Therefore, the two decoding procedures about list decoding based on subspace distance and L1 minimization based on Hamming distance are all needed.
A novel identification algorithm for circulant systems based on subspace identification is presented.
Two transformation schemes based on subspace techniques are designed in the partially adaptive linear filters.
L. Burget, P. Schwarz, et. al. "Multilingual Acoustic Modeling for Speech Recognition based on Subspace Gaussian Mixture Models", IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), March 2010.
The proposed estimator is based on subspace analysis using a time-space data model.
Thus, we should adopt such list codes which are based on subspace or rank distance.
The second approach is based on subspace techniques for estimating generalised eigenvalues of matrix pencils (Hua and Sarkar 1990 , 1991.
Seidel et al. [26] replaced the ℓ 1-norm in RPCA with a smoothed ℓ p -norm and presented a robust online subspace tracking algorithm based on alternating minimization on manifolds.
They are subspace codes based on the subspace distance and rank codes based on rank distance.
This scheme is based on a minimization principle.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com