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EnglishThe balanced weighted orthogonal matching pursuit (bWOMP) algorithm for recovering signals in compressed sensing (CS) based system is presented as a specialized recovering tool for Electrocardiograph (ECG) signals. Being based on the standard OMP approach, bWOMP is a lightweight reconstruction algorithm both in terms of complexity and memory footprint. Furthermore, the concept of weighting is introduced in the algorithm by exploring a prior knowledge on ECG signals. Experimental results show a performance increase of about 10 dB with respect to the standard OMP approach, and also an increase with respect to the decoding approaches considered as the state-of-the-art. In this case the gain could be as high as 4 dB with respect to the best of currently known decoding approaches.
| Titolo: | Low-complexity greedy algorithm in compressed sensing for the adapted decoding of ECGs | |
| Autore/i: | Marchioni, Alex; Mangia, Mauro; Pareschi, Fabio; Rovatti, Riccardo; Setti, Gianluca | |
| Autore/i Unibo: | ||
| Anno: | 2017 | |
| Titolo del libro: | 2017 IEEE Biomedical Circuits and Systems Conference, BioCAS 2017 - Proceedings | |
| Pagina iniziale: | 1 | |
| Pagina finale: | 4 | |
| Digital Object Identifier (DOI): | http://dx.doi.org/10.1109/BIOCAS.2017.8325143 | |
| Abstract: | The balanced weighted orthogonal matching pursuit (bWOMP) algorithm for recovering signals in compressed sensing (CS) based system is presented as a specialized recovering tool for Electrocardiograph (ECG) signals. Being based on the standard OMP approach, bWOMP is a lightweight reconstruction algorithm both in terms of complexity and memory footprint. Furthermore, the concept of weighting is introduced in the algorithm by exploring a prior knowledge on ECG signals. Experimental results show a performance increase of about 10 dB with respect to the standard OMP approach, and also an increase with respect to the decoding approaches considered as the state-of-the-art. In this case the gain could be as high as 4 dB with respect to the best of currently known decoding approaches. | |
| Data stato definitivo: | 24-gen-2019 | |
| Appare nelle tipologie: | 4.01 Contributo in Atti di convegno |
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