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After that, an algorithm for computing Fast DCT (FDCT) was introduced by Chen et al., in [2] which was based on matrix decomposition of the orthogonal basis function of the cosine transform.
Motivation: Modern machine learning methods based on matrix decomposition techniques, like independent component analysis (ICA) or non-negative matrix factorization (NMF), provide new and efficient analysis tools which are currently explored to analyze gene expression profiles.
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Hence for reducing the size of the lattice, methods based on matrix decompositions like SVD are available in the literature.
This value is identified in [74] based on novel matrix decomposition techniques.
The objective is solved based on penalized matrix decomposition (PMD) algorithm.
The direct solver is based on a matrix decomposition approach which reduces multi-dimensional separable problems to a sequence of one-dimensional problems that can be efficiently handled by a static condensation process.
In summary, we developed a new approach to interpret high throughput data and the associated algorithm based on modular matrix decomposition.
In [1], the authors proposed the MIMO channel precoding/decoding based on the Jacket matrix decomposition where we believe that the required computational complexity in obtaining diagonal-similar matrices is smaller than that required in the conventional EVD.
Moreover, we shall attempt to optimize the matrix based on QR decomposition, which could help to improve the incoherence between the measurement matrix and the sparse basis.
These favorable results substantiate the effectiveness of the feature extraction methods based on the proposed matrix decomposition method.
By using a stochastic Lyapunov approach, sufficiency conditions for the stability and stabilization of this class of systems are established based on a novel matrix decomposition technique.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com