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Unconstrained regularized ℓp-norm based algorithm for the reconstruction of sparse signals.

, , and . ISCAS, page 1740-1743. IEEE, (2011)

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Reconstruction of ECG signals for compressive sensing by promoting sparsity on the gradient., and . ICASSP, page 993-997. IEEE, (2013)Compressive Sensing of Electrocardiogram Signals by Promoting Sparsity on the Second-Order Difference and by Using Dictionary Learning., and . IEEE Trans. Biomed. Circuits Syst., 8 (2): 293-302 (2014)Compressive sensing of foot-gait signals by enhancing group block-sparse structure on the first-order difference., and . EMBC, page 3700-3703. IEEE, (2016)Real-time fetal ECG extraction from multichannel abdominal ECG using compressive sensing and ICA., , and . EMBC, page 2794-2797. IEEE, (2017)Efficient compressive sensing of ECG segments based on machine learning for QRS-based arrhythmia detection., and . EMBC, page 4731-4734. IEEE, (2016)Sparse Signal Reconstruction Using Multi-Sequential Lp Optimization., and . ISCAS, page 1-5. IEEE, (2018)Reconstruction of block-sparse signals by using an l2/p-regularized least-squares algorithm., , and . ISCAS, page 277-280. IEEE, (2012)Performance of compressive sensing for the reconstruction of different QRS pulses in ECG signals., and . EMBC, page 825-828. IEEE, (2017)First-Order Difference Energy Regularization for Enhancing Reconstruction Performance in Compressive Sensing of Foot-Gait Signals., and . ICASSP, page 925-929. IEEE, (2018)Compressive sensing of ECG signals based on mixed pseudonorm of the first- and second-order differences., and . ICASSP, page 4423-4427. IEEE, (2014)