| Nome |
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EMI Reduction via Spread Spectrum in DC/DC Converters: State of the Art, Optimization, and Tradeoffs, file e384c42f-f38e-d4b2-e053-9f05fe0a1d67
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287
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On Known-Plaintext Attacks to a Compressed Sensing-Based Encryption: A Quantitative Analysis, file e384c42f-f332-d4b2-e053-9f05fe0a1d67
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274
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Practical Optimization of EMI Reduction in Spread Spectrum Clock Generators with Application to Switching DC/DC Converters, file e384c42f-eeaf-d4b2-e053-9f05fe0a1d67
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191
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Hardware-Algorithms Co-Design and Implementation of an Analog-to-Information Converter for Biosignals Based on Compressed Sensing, file e384c42f-f36a-d4b2-e053-9f05fe0a1d67
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165
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Low-Complexity Multiclass Encryption by Compressed Sensing, file e384c42f-f3b5-d4b2-e053-9f05fe0a1d67
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165
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A case study in low-complexity ECG signal encoding: How compressing is compressed sensing?, file e384c42f-f3b3-d4b2-e053-9f05fe0a1d67
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155
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Low-Cost Security of IoT Sensor Nodes with Rakeness-Based Compressed Sensing: Statistical and Known-Plaintext Attacks, file e384c42f-f00d-d4b2-e053-9f05fe0a1d67
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154
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Bibliometric Indicators: Why Do We Need More Than One?, file e384c42f-ef0c-d4b2-e053-9f05fe0a1d67
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152
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Energy Analysis of Decoders for Rakeness-Based Compressed Sensing of ECG Signals, file e384c42f-f35f-d4b2-e053-9f05fe0a1d67
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151
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Spectral shaping of spreading sequences as a mean to address the trade-off between narrowband and multi-access interferences in UWB systems, file e384c42f-f011-d4b2-e053-9f05fe0a1d67
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148
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An Analytical Approach for the Design of Class-E Resonant DC-DC Converters, file e384c42f-f32c-d4b2-e053-9f05fe0a1d67
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143
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Rakeness-Based Design of Low-Complexity Compressed Sensing, file e384c42f-f363-d4b2-e053-9f05fe0a1d67
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137
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Countering the false myth of democracy: Boosting compressed sensing performance with maximum-energy approach, file e384c42f-fe7c-d4b2-e053-9f05fe0a1d67
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90
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A first implementation of a semi-analytically designed class-E resonant DC-DC converter, file e384c434-5c10-d4b2-e053-9f05fe0a1d67
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48
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Second-level NIST randomness tests for improving test reliability, file e384c433-ae6a-d4b2-e053-9f05fe0a1d67
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42
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A Methodology for Practical Design and Optimization of Class-E DC-DC Resonant Converters, file e384c432-9c75-d4b2-e053-9f05fe0a1d67
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40
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On statistical tests for randomness included in the NIST SP800-22 test suite and based on the binomial distribution, file e384c42f-f05f-d4b2-e053-9f05fe0a1d67
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39
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Deep Neural Oracles for Short-Window Optimized Compressed Sensing of Biosignals, file e384c432-5d55-d4b2-e053-9f05fe0a1d67
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38
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A Wireless Power Transfer System for Biomedical Implants based on an isolated Class-E DC-DC Converter with Power Regulation Capability, file e384c432-515e-d4b2-e053-9f05fe0a1d67
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37
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Correlation tuning in compressive sensing based on rakeness: A case study, file e384c434-156a-d4b2-e053-9f05fe0a1d67
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35
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A rakeness-based design flow for Analog-to-Information conversion by Compressive Sensing, file e384c434-4691-d4b2-e053-9f05fe0a1d67
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35
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Adaptive Matrix Design for Boosting Compressed Sensing, file e384c430-05c5-d4b2-e053-9f05fe0a1d67
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34
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Chained Compressed Sensing: A Blockchain-Inspired Approach for Low-Cost Security in IoT Sensing, file e384c431-5a7f-d4b2-e053-9f05fe0a1d67
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34
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Subspace Energy Monitoring for Anomaly Detection @Sensor or @Edge, file e384c432-515c-d4b2-e053-9f05fe0a1d67
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34
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Through-The-Barrier Communications in Isolated Class-E Converters Embedding a Low-k Transformer, file e384c432-9c74-d4b2-e053-9f05fe0a1d67
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33
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A Unified Design Theory for Class-E Resonant DC-DC Converter Topologies, file e384c431-3f54-d4b2-e053-9f05fe0a1d67
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32
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Low-power ECG acquisition by Compressed Sensing with Deep Neural Oracles, file e384c432-70f7-d4b2-e053-9f05fe0a1d67
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32
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Class-E Isolated DC-DC Converter with High-Rate and Cost-Effective Bidirectional Data Channel, file e384c431-bdec-d4b2-e053-9f05fe0a1d67
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29
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An architecture for ultra-low-voltage ultra-low-power compressed sensing-based acquisition systems, file e384c434-9b4f-d4b2-e053-9f05fe0a1d67
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26
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Reflections on the Future of Research Curation and Research Reproducibility, file e384c430-1b29-d4b2-e053-9f05fe0a1d67
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25
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A Comparison between Class-E DC-DC Design Methodologies for Wireless Power Transfer, file e384c434-263a-d4b2-e053-9f05fe0a1d67
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24
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Stability and mismatch robustness of a leakage current cancellation technique, file e384c433-c418-d4b2-e053-9f05fe0a1d67
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23
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Energy-Aware Bio-Signal Compressed Sensing Reconstruction on the WBSN-Gateway, file e384c430-74d7-d4b2-e053-9f05fe0a1d67
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22
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On the security of a class of diffusion mechanisms for image encryption, file e384c430-a195-d4b2-e053-9f05fe0a1d67
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22
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Asymptotic expressions of mismatch variance in interdigitated geometries, file e384c433-df3d-d4b2-e053-9f05fe0a1d67
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22
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Adapted Compressed Sensing: A Game Worth Playing, file e384c431-eaec-d4b2-e053-9f05fe0a1d67
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21
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Low-power fixed-point compressed sensing decoder with support oracle, file e384c433-c23f-d4b2-e053-9f05fe0a1d67
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20
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A 3 GHz spread spectrum clock generator for SATA applications using chaotic PAM modulation, file e384c432-90e3-d4b2-e053-9f05fe0a1d67
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19
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Zeroing for HW-efficient compressed sensing architectures targeting data compression in wireless sensor networks, file e384c42f-f32b-d4b2-e053-9f05fe0a1d67
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18
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Administering quality-energy trade-off in IoT sensing applications by means of adapted compressed sensing, file e384c431-72c7-d4b2-e053-9f05fe0a1d67
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17
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Second-level testing revisited and applications to NIST SP800-22, file e384c432-9506-d4b2-e053-9f05fe0a1d67
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17
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Resource Redistribution in Internet of Things applications by Compressed Sensing: A Survey, file e384c430-8831-d4b2-e053-9f05fe0a1d67
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16
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Compressed sensing by phase change memories: Coping with encoder non-linearities, file e384c433-d274-d4b2-e053-9f05fe0a1d67
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16
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Rakeness-based Compressed Sensing of Surface ElectroMyoGraphy for Improved Hand Movement Recognition in the Compressed Domain, file e384c430-81da-d4b2-e053-9f05fe0a1d67
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15
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A spread spectrum clock generator based on a short-term optimized chaotic map, file e384c432-931f-d4b2-e053-9f05fe0a1d67
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14
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Long-Term ECG monitoring with zeroing Compressed Sensing approach, file e384c434-60cf-d4b2-e053-9f05fe0a1d67
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14
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Deep Neural Oracle with Support Identification in the Compressed Domain, file e384c433-f13c-d4b2-e053-9f05fe0a1d67
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13
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Implicit notch filtering in compressed sensing by spectral shaping of sensing matrix, file e384c434-aae9-d4b2-e053-9f05fe0a1d67
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13
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A pseudorandom number generator based on time-variant recursion of accumulators, file e384c42f-f649-d4b2-e053-9f05fe0a1d67
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12
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A new semi-analytic approach for class-E resonant DC-DC converter design, file e384c434-05e1-d4b2-e053-9f05fe0a1d67
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12
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Average recovery performances of non-perfectly informed compressed sensing: With applications to multiclass encryption, file e384c434-7881-d4b2-e053-9f05fe0a1d67
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12
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An MCU Implementation of PCA/PSA Streaming Algorithms for EEG Features Extraction, file e384c434-958a-d4b2-e053-9f05fe0a1d67
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12
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On the Approximation Errors in the Frequency Test Included in the NIST SP800-22 Statistical Test Suite, file e384c432-abca-d4b2-e053-9f05fe0a1d67
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11
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A fast chaos-based true random number generator for cryptographic applications, file e384c433-c478-d4b2-e053-9f05fe0a1d67
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11
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An approach to information propagation in 1-D cellular neural networks-Part I: Local diffusion, file e384c42f-f949-d4b2-e053-9f05fe0a1d67
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10
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A macro-model for the efficient simulation of an ADC-based RNG, file e384c432-96ea-d4b2-e053-9f05fe0a1d67
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10
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Power analysis of a chaos-based random number generator for cryptographic security, file e384c432-b751-d4b2-e053-9f05fe0a1d67
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10
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Ripple-based power-line communication in switching DC-DC converters exploiting switching frequency modulation, file e384c434-11a4-d4b2-e053-9f05fe0a1d67
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10
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Application of spread-spectrum techniques to class-E DC/DC converters: some preliminary results, file e384c434-936b-d4b2-e053-9f05fe0a1d67
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10
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Spectral properties of chaos-based FM signals: Theory and simulation results, file e384c42f-f55e-d4b2-e053-9f05fe0a1d67
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9
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Chaos-based FM signals: Application and implementation issues, file e384c42f-fd2d-d4b2-e053-9f05fe0a1d67
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9
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Disturbance Rejection with Rakeness-based Compressed Sensing: Method and Application to Baseline/Powerline Mitigation in ECGs, file e384c430-8add-d4b2-e053-9f05fe0a1d67
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9
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Compressed Sensing of ΔΣ Streams, file e384c432-1709-d4b2-e053-9f05fe0a1d67
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9
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Rakeness-based compressed sensing and hub spreading to administer short/long-range communication tradeoff in IoT Settings, file e384c431-8fa1-d4b2-e053-9f05fe0a1d67
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8
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A passive and low-complexity Compressed Sensing architecture based on a charge-redistribution SAR ADC, file e384c432-5d53-d4b2-e053-9f05fe0a1d67
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8
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Resonate and fire dynamics in Complex Oscillation Based Test of analog filters, file e384c432-9c3b-d4b2-e053-9f05fe0a1d67
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8
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Chaos-based high-EMC spread-spectrum clock generator, file e384c432-c9a5-d4b2-e053-9f05fe0a1d67
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8
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A fully CMOS true random number generator based on hidden attractor hyperchaotic system, file e384c432-d8f6-d4b2-e053-9f05fe0a1d67
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8
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A Practical Architecture for SAR-based ADCs with Embedded Compressed Sensing Capabilities, file e384c433-c479-d4b2-e053-9f05fe0a1d67
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8
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Decoding Algorithms and HW Strategies to Mitigate Uncertainties in a PCM-Based Analog Encoder for Compressed Sensing, file b8e75084-9fa5-434b-9632-c7a3b6774ad1
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7
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Limit properties of folded sums of chaotic trajectories, file e384c42f-f4fc-d4b2-e053-9f05fe0a1d67
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7
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Chained Compressed Sensing: A Blockchain-Inspired Approach for Low-Cost Security in IoT Sensing, file e384c431-5964-d4b2-e053-9f05fe0a1d67
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7
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A High-level Implementation Framework for Non-Recurrent Artificial Neural Networks on FPGA, file e384c433-ae6d-d4b2-e053-9f05fe0a1d67
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7
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A two-class information concealing system based on compressed sensing, file e384c434-4106-d4b2-e053-9f05fe0a1d67
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7
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Leakage compensation in analog random modulation pre-integration architectures for biosignal acquisition, file e384c434-5cdd-d4b2-e053-9f05fe0a1d67
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7
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Compressed Sensing Inspired Neural Decoder for Undersampled MRI with Self-Assessment, file e384c434-71a5-d4b2-e053-9f05fe0a1d67
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7
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Generation of low-EMI PWM patterns for induction motor drives with chaotic maps, file e384c42f-f7cb-d4b2-e053-9f05fe0a1d67
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6
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Experimental verification of enhanced electromagnetic compatibility in chaotic FM clock signals, file e384c42f-f836-d4b2-e053-9f05fe0a1d67
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6
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Improving PA efficiency by chaos-based spreading in multicarrier DS-CDMA systems, file e384c42f-f9c0-d4b2-e053-9f05fe0a1d67
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6
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Interference bounds for DS-CDMA systems based on chaotic piecewise-affine Markov maps, file e384c42f-faaf-d4b2-e053-9f05fe0a1d67
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6
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Sparse sensing matrix based compressed sensing in low-power ECG sensor nodes, file e384c431-86eb-d4b2-e053-9f05fe0a1d67
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6
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Rakeness-based compressed sensing and hub spreading to administer short/long-range communication tradeoff in IoT Settings, file e384c431-9c36-d4b2-e053-9f05fe0a1d67
|
6
|
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EMI Reduction via Spread Spectrum in DC/DC Converters: State of the Art, Optimization, and Tradeoffs, file e384c431-fcfa-d4b2-e053-9f05fe0a1d67
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6
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|
Coping with saturating projection stages in RMPI-based Compressive Sensing, file e384c432-9325-d4b2-e053-9f05fe0a1d67
|
6
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|
Aggressively prunable MAM²-based Deep Neural Oracle for ECG acquisition by Compressed Sensing, file 633c8519-52c0-4bcc-b428-a266e3ac59cf
|
5
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Chaos-based asynchronous DS-CDMA systems and enhanced rake receivers: Measuring the improvements, file e384c42f-f5bf-d4b2-e053-9f05fe0a1d67
|
5
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|
Enhanced rake receivers for chaos-based DS-CDMA, file e384c42f-f91e-d4b2-e053-9f05fe0a1d67
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5
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|
On the security of a class of diffusion mechanisms for image encryption, file e384c431-c08d-d4b2-e053-9f05fe0a1d67
|
5
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Noise robustness condition for chaotic maps with piecewise constant invariant density, file e384c432-96e7-d4b2-e053-9f05fe0a1d67
|
5
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Equivalent skin effect model for time-domain analysis starting from electromagnetic simulator values, file b73eb5de-9a45-4cb6-8cd0-2830b4b113c3
|
4
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Rakeness-based compressed sensing of atrial electrograms for the diagnosis of atrial fibrillation, file e384c431-48a5-d4b2-e053-9f05fe0a1d67
|
4
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Tuning a resonant DC/DC converter on the second harmonic for improving performance: A case study, file e384c431-48a7-d4b2-e053-9f05fe0a1d67
|
4
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A High-level Implementation Framework for Non-Recurrent Artificial Neural Networks on FPGA, file e384c431-4a00-d4b2-e053-9f05fe0a1d67
|
4
|
|
A Practical Architecture for SAR-based ADCs with Embedded Compressed Sensing Capabilities, file e384c431-4a01-d4b2-e053-9f05fe0a1d67
|
4
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|
Administering quality-energy trade-off in IoT sensing applications by means of adapted compressed sensing, file e384c431-72c9-d4b2-e053-9f05fe0a1d67
|
4
|
|
Application of compressed sensing to ECG signals: Decoder-side benefits of the rakeness approach, file e384c431-d570-d4b2-e053-9f05fe0a1d67
|
4
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A Soft-Defined Pulse Width Modulation Approach - Part I: Principles, file e384c431-ec2a-d4b2-e053-9f05fe0a1d67
|
4
|
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Ripple-based power-line communication in switching DC-DC converters exploiting switching frequency modulation, file e384c431-faa7-d4b2-e053-9f05fe0a1d67
|
4
|
|
Subspace Energy Monitoring for Anomaly Detection @Sensor or @Edge, file e384c432-515b-d4b2-e053-9f05fe0a1d67
|
4
|
|
A passive and low-complexity Compressed Sensing architecture based on a charge-redistribution SAR ADC, file e384c432-5d54-d4b2-e053-9f05fe0a1d67
|
4
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| Totale |
3.501 |
Archivio Istituzionale della Ricerca