Mauro Mangia
Orcid: 0000-0002-3818-9115
According to our database1,
Mauro Mangia
authored at least 93 papers
between 2010 and 2025.
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Bibliography
2025
Signal Process., 2025
2024
IEEE Trans. Ind. Informatics, October, 2024
Anomaly Detection Based on Compressed Data: An Information Theoretic Characterization.
IEEE Trans. Syst. Man Cybern. Syst., January, 2024
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2024
Proceedings of the 32nd European Signal Processing Conference, 2024
Proceedings of the 6th IEEE International Conference on AI Circuits and Systems, 2024
Enhancing Anomaly Detection with Entropy Regularization in Autoencoder-based Lightweight Compression.
Proceedings of the 6th IEEE International Conference on AI Circuits and Systems, 2024
2023
Streaming Algorithms for Subspace Analysis: Comparative Review and Implementation on IoT Devices.
IEEE Internet Things J., July, 2023
Combined HW/SW Drift and Variability Mitigation for PCM-Based Analog In-Memory Computing for Neural Network Applications.
IEEE J. Emerg. Sel. Topics Circuits Syst., March, 2023
Proceedings of the 66th IEEE International Midwest Symposium on Circuits and Systems, 2023
Proceedings of the 66th IEEE International Midwest Symposium on Circuits and Systems, 2023
Proceedings of the 66th IEEE International Midwest Symposium on Circuits and Systems, 2023
Event-based Classification with Recurrent Spiking Neural Networks on Low-end Micro-Controller Units.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2023
Second-Order Statistic Deviation to Model Anomalies in the Design of Unsupervised Detectors.
Proceedings of the IEEE International Conference on Acoustics, 2023
Adapted Compressed Sensing with Incremental Encoder and Deep Performance Predictor for Low-Power Sensor Node Design.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2023
2022
A Deep Learning Method for Optimal Undersampling Patterns and Image Recovery for MRI Exploiting Losses and Projections.
IEEE J. Sel. Top. Signal Process., 2022
A Non-conventional Sum-and-Max based Neural Network layer for Low Power Classification.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2022
Proceedings of the IEEE International Symposium on Circuits and Systems, 2022
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2022
Training Binary Layers by Self-Shrinking of Sigmoid Slope: Application to Fast MRI Acquisition.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2022
Aggressively prunable MAM²-based Deep Neural Oracle for ECG acquisition by Compressed Sensing.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2022
2021
IEEE Trans. Ind. Informatics, 2021
Embedded Streaming Principal Components Analysis for Network Load Reduction in Structural Health Monitoring.
IEEE Internet Things J., 2021
An architecture for ultra-low-voltage ultra-low-power compressed sensing-based acquisition systems.
Proceedings of the IEEE Nordic Circuits and Systems Conference, NorCAS 2021, Oslo, 2021
Proceedings of the IEEE International Symposium on Circuits and Systems, 2021
Proceedings of the IEEE Biomedical Circuits and Systems Conference, BioCAS 2021, 2021
Compressed Sensing Inspired Neural Decoder for Undersampled MRI with Self-Assessment.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, BioCAS 2021, 2021
2020
IEEE Trans. Biomed. Circuits Syst., 2020
Signal Process., 2020
IEEE Internet Things J., 2020
A passive and low-complexity Compressed Sensing architecture based on a charge-redistribution SAR ADC.
Integr., 2020
IEEE J. Emerg. Sel. Topics Circuits Syst., 2020
Proceedings of the IEEE International Symposium on Circuits and Systems, 2020
Through-The-Barrier Communications in Isolated Class-E Converters Embedding a Low-K Transformer.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2020
Proceedings of the 2nd IEEE International Conference on Artificial Intelligence Circuits and Systems, 2020
2019
Chained Compressed Sensing: A Blockchain-Inspired Approach for Low-Cost Security in IoT Sensing.
IEEE Internet Things J., 2019
IEEE Access, 2019
A High-level Implementation Framework for Non-Recurrent Artificial Neural Networks on FPGA.
Proceedings of the 15th Conference on Ph.D. Research in Microelectronics and Electronics, 2019
A Practical Architecture for SAR-based ADCs with Embedded Compressed Sensing Capabilities.
Proceedings of the 15th Conference on Ph.D. Research in Microelectronics and Electronics, 2019
Rakeness-Based Compressed Sensing of Atrial Electrograms for the Diagnosis of Atrial Fibrillation.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2019
Tuning a Resonant DC/DC Converter on the Second Harmonic for Improving Performance: A Case Study.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2019
An Energy-Efficient Multi-Sensor Compressed Sensing System Employing Time-Mode Signal Processing Techniques.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2019
Proceedings of the 26th IEEE International Conference on Electronics, Circuits and Systems, 2019
Proceedings of the IEEE International Conference on Acoustics, 2019
2018
Low-Cost Security of IoT Sensor Nodes With Rakeness-Based Compressed Sensing: Statistical and Known-Plaintext Attacks.
IEEE Trans. Inf. Forensics Secur., 2018
IEEE Trans. Emerg. Top. Comput., 2018
IEEE Trans. Circuits Syst. II Express Briefs, 2018
IEEE Trans. Circuits Syst. I Regul. Pap., 2018
Rakeness-Based Compressed Sensing and Hub Spreading to Administer Short/Long-Range Communication Tradeoff in IoT Settings.
IEEE Internet Things J., 2018
Administering Quality-Energy Trade-Off in IoT Sensing Applications by Means of Adapted Compressed Sensing.
IEEE J. Emerg. Sel. Topics Circuits Syst., 2018
Projected-Gradient-Descent in Rakeness-Based Compressed Sensing with Disturbance Rejection.
Proceedings of the 2018 New Generation of CAS, 2018
Resource Redistribution in Internet of Things applications by Compressed Sensing: A Survey.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2018
Disturbance Rejection With Rakeness-based Compressed Sensing: Method and Application to Baseline/Powerline Mitigation in ECGs.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2018
Rakeness-based Compressed Sensing of Surface ElectroMyoGraphy for Improved Hand Movement Recognition in the Compressed Domain.
Proceedings of the 2018 IEEE Biomedical Circuits and Systems Conference, 2018
2017
IEEE Trans. Circuits Syst. I Regul. Pap., 2017
IEEE Trans. Biomed. Circuits Syst., 2017
Zeroing for HW-efficient compressed sensing architectures targeting data compression in wireless sensor networks.
Microprocess. Microsystems, 2017
Countering the false myth of democracy: Boosting compressed sensing performance with maximum-energy approach.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2017
Low-complexity greedy algorithm in compressed sensing for the adapted decoding of ECGs.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2017
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2017
2016
Hardware-Algorithms Co-Design and Implementation of an Analog-to-Information Converter for Biosignals Based on Compressed Sensing.
IEEE Trans. Biomed. Circuits Syst., 2016
Proceedings of the IEEE International Symposium on Circuits and Systems, 2016
Implicit notch filtering in compressed sensing by spectral shaping of sensing matrix.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2016
Proceedings of the IEEE International Symposium on Circuits and Systems, 2016
Low-power EEG monitor based on compressed sensing with compressed domain noise rejection.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2016
Rakeness and beyond in zero-complexity digital compressed sensing: A down-to-bits case study.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2016
Application of compressed sensing to ECG signals: Decoder-side benefits of the rakeness approach.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2016
2015
IEEE Trans. Signal Process., 2015
On Known-Plaintext Attacks to a Compressed Sensing-Based Encryption: A Quantitative Analysis.
IEEE Trans. Inf. Forensics Secur., 2015
A Case Study in Low-Complexity ECG Signal Encoding: How Compressing is Compressed Sensing?
IEEE Signal Process. Lett., 2015
Application of spread-spectrum techniques to class-E DC/DC converters: some preliminary results.
Proceedings of the Nordic Circuits and Systems Conference, 2015
Proceedings of the Nordic Circuits and Systems Conference, 2015
Energy-Aware Bio-signal Compressed Sensing Reconstruction: FOCUSS on the WBSN-Gateway.
Proceedings of the IEEE 9th International Symposium on Embedded Multicore/Many-core Systems-on-Chip, 2015
Ripple-based power-line communication in switching DC-DC converters exploiting switching frequency modulation.
Proceedings of the 2015 IEEE International Symposium on Circuits and Systems, 2015
Average recovery performances of non-perfectly informed compressed sensing: With applications to multiclass encryption.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015
Proceedings of the 2015 Design, Automation & Test in Europe Conference & Exhibition, 2015
2014
Generation of Antipodal Random Vectors With Prescribed Non-Stationary 2-nd Order Statistics.
IEEE Trans. Signal Process., 2014
Combining Spread Spectrum Compressive Sensing with rakeness for low frequency modulation in RMPI architecture.
Proceedings of the IEEE International Conference on Acoustics, 2014
Rakeness-based compressed sensing on ultra-low power multi-core biomedicai processors.
Proceedings of the 2014 Conference on Design and Architectures for Signal and Image Processing, 2014
Leakage compensation in analog random modulation pre-integration architectures for biosignal acquisition.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2014
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2014
2013
Antipodal random sequences with prescribed second-order statistics: application to Compressive Sensing and UWB system based on DS-CDMA.
PhD thesis, 2013
Low-complexity Multiclass Encryption by Compressed Sensing, Part II: Known-Plaintext Attacks.
CoRR, 2013
A rakeness-based design flow for Analog-to-Information conversion by Compressive Sensing.
Proceedings of the 2013 IEEE International Symposium on Circuits and Systems (ISCAS2013), 2013
Proceedings of the 20th IEEE International Conference on Electronics, 2013
Proceedings of the 2013 IEEE Biomedical Circuits and Systems Conference (BioCAS), Rotterdam, The Netherlands, October 31, 2013
2012
Rakeness in the Design of Analog-to-Information Conversion of Sparse and Localized Signals.
IEEE Trans. Circuits Syst. I Regul. Pap., 2012
A Pragmatic Look at Some Compressive Sensing Architectures With Saturation and Quantization.
IEEE J. Emerg. Sel. Topics Circuits Syst., 2012
Proceedings of the 2012 IEEE International Symposium on Circuits and Systems, 2012
2011
Analog-to-information conversion of sparse and non-white signals: Statistical design of sensing waveforms.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2011), 2011
2010
Narrowband interference reduction in UWB systems based on spreading sequence spectrum shaping.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2010), May 30, 2010
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2010), May 30, 2010