הילה נעמן

ד"ר הילה נעמן


Dr. Hila Naaman
דיסציפלינות ראשיותMain Disciplines
דיסציפלינות משניותSecondary Disciplines
תחומי מחקר / מילות מפתחKeywords
פרסומים ויצירות עיקריים / עדכנייםMain / Recent Publications
  • A Barliya, N Krausz, H Naaman, E Chiovetto, M Giese, T Flash “Human Arm Redundancy - A New Approach for the Inverse Kinematics Problem” Royal Society Open Science 11, 231036 (2024)

  • H Naaman, D Bilik, Y Eder, YC Eldar “Efficient ECG reconstruction and Heart Rate Monitoring using time-based sampler” (COMCAS) (2023)

  • H Naaman, S Savariego, N Glazer, M Namer, YC Eldar “Sub-Nyquist Time-Based Hardware for Heart Rate Monitoring of ECG Signals“ IEEE international Conference on Acoustics, Speech and Signal Processing (ICASSP) (2023)

  • T Sharon H Naaman, Y Eder, YC Eldar “Deep Learning MIDL Real-Time Quantitative Ultrasound and Radar KnowledgeBased Medical Imaging “ Medical Imaging with Deep Learning (MIDL) (2023)

  • T Sharon H Naaman, Y Eder, YC Eldar “Real-Time Quantitative Radar and Ultrasound Medical Imaging“ (COMCAS) (2023)

  • T Sharon H Naaman, Y Eder, YC Eldar “Real-Time Quantitative Ultrasound and Radar Medical Imaging“ (IUS)(2023)

  • H Naaman, A Cohen, S Mulleti, YC Eldar “Time-Based Quantization for FRI and Bandlimited signals“ IEEE European Signal Processing Conference (EUSIPCO) (2022).

  • H Naaman, H Zhang, S Mulleti, YC Eldar “Learned ISTA for Time Encoding FRI Signals“ Israel Data Science Initiative (IDSI)(2022).

  • H Naaman, S Mulleti, YC Eldar “FRI-TEM: Time encoding sampling of finite-rate-of-innovation signals“ IEEE Transactions on Signal Processing 70, 267-2279 (2022).

  • H Naaman, S Mulleti, YC Eldar “Uniqueness and Robustness of TEM-Based FRI Sampling“ IEEE International Symposium on Information Theory (ISIT), 2631-2636 (2022)

  • S Tarnopolsky, H Naaman, YC Eldar, A Cohen “Compressed IF-TEM: Time Encoding Analog-To-Digital Compression” (2022)

  • ] H Naaman, E Reznitskiy, N Glazer, M Namer, YC Eldar “Sub-Nyquist time-based sampling of FRI signals“ IEEE international Conference on Acoustics, Speech and Signal Processing (ICASSP) (2021).