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- W3200089898 abstract "Wireless Body Area Networks (WBAN), in particular in the field of wearable health monitoring system (WMB), such as electromagnetic cardiograms (ECG) data collecting system via WBANs in e-health applications, is becoming increasingly important for future communication systems. Compressive sensing (CS), on the other hand, has been shown to consume less power compared classic transform-coding-based approaches. We propose a new low-rank sparse deep signal recovery algorithm for recovering ECG data in the context of CS (Compressive sensing) because the spatial and temporal data collected by a WBAN have some closely correlated structures in certain wavelet domains e.g., the discrete wavelet transform (DWT) domain" @default.
- W3200089898 created "2021-09-27" @default.
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- W3200089898 date "2021-08-28" @default.
- W3200089898 modified "2023-10-17" @default.
- W3200089898 title "Distributed Signal Processing Algorithms for Wireless Sensor Networks" @default.
- W3200089898 doi "https://doi.org/10.24113/ijoscience.v7i8.404" @default.
- W3200089898 hasPublicationYear "2021" @default.
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