Research on ECG signal reconstruction based on improved weighted nuclear norm minimization and approximate message passing algorithm

In order to improve the energy efficiency of wearable devices, it is necessary to compress and reconstruct the collected electrocardiogram data. The compressed data may be mixed with noise during the transmission process. The denoising-based approximate message passing (AMP) algorithm performs well...

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Vydané v:	Frontiers in neuroinformatics Ročník 18; s. 1454244
Hlavní autori:	Zhang, Bing, Zhu, Xishun, Khan, Fadia Ali, Jamal, Sajjad Shaukat, Mazroa, Alanoud Al, Nawaz, Rab
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Switzerland Frontiers Research Foundation 08.10.2024 Frontiers Media S.A
Predmet:	Algorithms approximate message passing algorithm compressed sensing Convex analysis Decomposition Dictionaries ECG EKG Electrocardiography Neuroscience non-local similarity Optimization Sparsity Wavelet transforms weighted nuclear norm minimization ECG weighted nuclear norm minimization non-local similarity approximate message passing algorithm compressed sensing
ISSN:	1662-5196, 1662-5196
On-line prístup:	Získať plný text
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