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Coping with saturating projection stages in RMPI-based Compressive Sensing., , , , and . ISCAS, page 2805-2808. IEEE, (2012)A High-level Implementation Framework for Non-Recurrent Artificial Neural Networks on FPGA., , , , , and . PRIME, page 77-80. IEEE, (2019)An Energy-Efficient Multi-Sensor Compressed Sensing System Employing Time-Mode Signal Processing Techniques., , , , , and . ISCAS, page 1-5. IEEE, (2019)Implicit notch filtering in compressed sensing by spectral shaping of sensing matrix., , , and . ISCAS, page 257-260. IEEE, (2016)Rakeness and beyond in zero-complexity digital compressed sensing: A down-to-bits case study., , , and . BioCAS, page 356-359. IEEE, (2016)Long-Term ECG monitoring with zeroing Compressed Sensing approach., , , , , , and . NORCAS, page 1-4. IEEE, (2015)Low-Cost Security of IoT Sensor Nodes With Rakeness-Based Compressed Sensing: Statistical and Known-Plaintext Attacks., , , and . IEEE Trans. Information Forensics and Security, 13 (2): 327-340 (2018)Correlation tuning in compressive sensing based on rakeness: A case study., , , , and . ICECS, page 257-260. IEEE, (2013)A Case Study in Low-Complexity ECG Signal Encoding: How Compressing is Compressed Sensing?, , , , and . IEEE Signal Process. Lett., 22 (10): 1743-1747 (2015)Low-Complexity Multiclass Encryption by Compressed Sensing., , , , and . IEEE Trans. Signal Processing, 63 (9): 2183-2195 (2015)