Mauro Mangia

Orcid: 0000-0002-3818-9115

According to our database1, Mauro Mangia authored at least 87 papers between 2010 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Anomaly Detection Based on Compressed Data: An Information Theoretic Characterization.
IEEE Trans. Syst. Man Cybern. Syst., January, 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

Autoencoder-Based Features Extraction for the Health Monitoring in the Space domain.
Proceedings of the 66th IEEE International Midwest Symposium on Circuits and Systems, 2023

Structured Pruning in Deep Neural Networks with Trainable Probability Masks.
Proceedings of the 66th IEEE International Midwest Symposium on Circuits and Systems, 2023

Multiply-And-Max/min Neurons at the Edge: Pruned Autoencoder Implementation.
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

Phase-Change Memory in Neural Network Layers with Measurements-based Device Models.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2022

Binary Compressed Sensing of ECG by Neural Matrix Optimization and Support Oracle.
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
Model-Assisted Compressed Sensing for Vibration-Based Structural Health Monitoring.
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

Compressed Sensing by Phase Change Memories: Coping with Encoder non-Linearities.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2021

An MCU Implementation of PCA/PSA Streaming Algorithms for EEG Features Extraction.
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
Deep Neural Oracles for Short-Window Optimized Compressed Sensing of Biosignals.
IEEE Trans. Biomed. Circuits Syst., 2020

Geometric constraints in sensing matrix design for compressed sensing.
Signal Process., 2020

Subspace Energy Monitoring for Anomaly Detection @Sensor or @Edge.
IEEE Internet Things J., 2020

A passive and low-complexity Compressed Sensing architecture based on a charge-redistribution SAR ADC.
Integr., 2020

Deep Neural Oracle With Support Identification in the Compressed Domain.
IEEE J. Emerg. Sel. Topics Circuits Syst., 2020

Low-Power Fixed-Point Compressed Sensing Decoder with Support Oracle.
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

Low-power ECG acquisition by Compressed Sensing with Deep Neural Oracles.
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

A Unified Design Theory for Class-E Resonant DC-DC Converter Topologies.
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

Compressed Sensing of ΔΣ Streams.
Proceedings of the 26th IEEE International Conference on Electronics, Circuits and Systems, 2019

Chained Compressed Sensing for Iot Node Security.
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

Energy-Aware Bio-Signal Compressed Sensing Reconstruction on the WBSN-Gateway.
IEEE Trans. Emerg. Top. Comput., 2018

Rakeness-Based Compressed Sensing of Multiple-Graph Signals for IoT Applications.
IEEE Trans. Circuits Syst. II Express Briefs, 2018

Adaptive Matrix Design for Boosting Compressed Sensing.
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
Rakeness-Based Design of Low-Complexity Compressed Sensing.
IEEE Trans. Circuits Syst. I Regul. Pap., 2017

Energy Analysis of Decoders for Rakeness-Based Compressed Sensing of ECG Signals.
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

Sparse sensing matrix based compressed sensing in low-power ECG sensor nodes.
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

Low cost mobile EEG for characterization of cortical auditory responses.
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

Security analysis of rakeness-based compressed sensing.
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
Low-Complexity Multiclass Encryption by Compressed Sensing.
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

Long-Term ECG monitoring with zeroing Compressed Sensing approach.
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

An ultra-low power dual-mode ECG monitor for healthcare and wellness.
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

Compressed sensing based on rakeness for surface ElectroMyoGraphy.
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

Embedding Multiclass Data Hiding in Compressed Sensing.
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

Correlation tuning in compressive sensing based on rakeness: A case study.
Proceedings of the 20th IEEE International Conference on Electronics, 2013

Joint analog-to-information conversion of heterogeneous biosignals.
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

Coping with saturating projection stages in RMPI-based Compressive Sensing.
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

Probability metrics to calibrate stochastic chemical kinetics.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2010), May 30, 2010


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