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An effective way of J wave separation based on multilayer ...
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由 D Li 著作2014被引用 6 次 — Therefore, a new method of multilayer nonnegative matrix factorization (NMF) in this paper is put forward, taking the hump shape J wave, for example, which can ...
An Effective Way of J Wave Separation Based on Multilayer ...
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National Institutes of Health (NIH) (.gov)
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由 D Li 著作2014被引用 6 次 — A new method of multilayer nonnegative matrix factorization (NMF) in this paper is put forward, taking the hump shape J wave, for example, which can extract ...
An Effective Way of J Wave Separation Based on Multilayer ...
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由 D Li 著作2014被引用 6 次 — A new method of multilayer nonnegative matrix factorization (NMF) in this paper is put forward, taking the hump shape J wave, for example.
An Effective Way of J Wave Separation Based on Multilayer NMF
ResearchGate
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J wave is getting more and more important in the clinical diagnosis as a new index of the electrocardiogram (ECG) of ventricular bipolar, but its signal ...
An Effective Way of J Wave Separation Based on Multilayer NMF
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A new method of multilayer nonnegative matrix factorization (NMF) is put forward, taking the hump shape J wave, which can extract the original J wave signal ...
An Effective Way of J Wave Separation Based on Multilayer NMF
e-Marefa
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J wave is getting more and more important in the clinical diagnosis as a new index of the electrocardiogram (ECG) of ventricular bipolar, but its signal ...
Jing-ang Lv
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Deng-ao Li, Jing-ang Lv, Ju-Min Zhao, Jin Zhang: An Effective Way of J Wave Separation Based on Multilayer NMF. Comput. Math.
The SIRs of separated signals after 7-layer NMF separation
ResearchGate
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... An Effective Way of J Wave Separation Based on Multilayer NMF | J wave is getting more and more important in the clinical diagnosis as a new index of the ...
MULTILAYER NONNEGATIVE MATRIX FACTORIZATION ...
World Scientific Publishing
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World Scientific Publishing
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由 A CICHOCKI 著作2007被引用 112 次 — In this paper, we present and compare the performance of additive algorithms based on three different variations of a projected gradient approach. Additionally, ...
Deep alternating non-negative matrix factorisation
ScienceDirect.com
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ScienceDirect.com
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由 J Sun 著作2022被引用 11 次 — NMF achieves feature extraction by factorising the original data matrix into a basis matrix and coding matrix both with non-negative entries.