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Power Measurement-Based Channel Estimation for IRS-Enhanced Wireless Coverage

• Authors : He Sun; Lipeng Zhu; Weidong Mei

Subjects: Signal Processing (eess.SP); FOS: Computer and information sciences; Computer Science - Information Theory

• Source: IEEE Transactions on Wireless Communications. 23:19183-19198

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User Power Measurement Based IRS Channel Estimation via Single-Layer Neural Network

• Authors : Sun, He; Mei, Weidong; Zhu, Lipeng

Subjects: 0301 basic medicine; Signal Processing (eess.SP); FOS: Computer and information sciences

• Source: GLOBECOM 2023 - 2023 IEEE Global Communications Conference. :6579-6584

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PMT: Power Measurement Toolkit

• Authors : Corda, Stefano; Veenboer, Bram; Tolley, Emma

Subjects: Performance (cs.PF); FOS: Computer and information sciences; Computer Science - Performance

• Source: 2022 IEEE/ACM International Workshop on HPC User Support Tools (HUST). 12:44-47

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PowerSensor3: A Fast and Accurate Open Source Power Measurement Tool ...

• Authors : van der Vlugt, Steven; Oostrum, Leon; Schoonderbeek, Gijs

Subjects: Performance cs.PF; Instrumentation and Methods for Astrophysics astro-ph.IM; FOS: Computer and information sciences

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Eco: A Hardware-Software Co-Design for In Situ Power Measurement on Low-end IoT Systems

• Authors : Matthias Wählisch; Thomas C. Schmidt; Michel Rottleuthner

Subjects: Signal Processing (eess.SP); Performance (cs.PF); FOS: Computer and information sciences

• Source: Proceedings of the 7th International Workshop on Energy Harvesting & Energy-Neutral Sensing Systems.

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PowerAlert: An Integrity Checker using Power Measurement

• Authors : Fawaz, Ahmed M.; Noureddine, Mohammad; Sanders, William H.

Subjects: FOS: Computer and information sciences; Computer Science - Cryptography and Security; 0202 electrical engineering, electronic engineering, information engineering

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LaneSNNs: Spiking Neural Networks for Lane Detection on the Loihi Neuromorphic Processor

• Authors : Viale, Alberto; Marchisio, Alberto; Martina, Maurizio

Subjects: FOS: Computer and information sciences; Computer Science - Machine Learning; 0202 electrical engineering, electronic engineering, information engineering

• Source: 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). :79-86

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Robust and Accurate Fine-Grain Power Models for Embedded Systems With No On-Chip PMU

• Authors : Kris Nikov; Marcos Martínez; Simon Wegener

Subjects: FOS: Computer and information sciences; Sensors; ASIC

• Source: IEEE Embedded Systems Letters. 14:147-150

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A PolSAR Scattering Power Factorization Framework and Novel Roll-Invariant Parameter-Based Unsupervised Classification Scheme Using a Geodesic Distance

• Authors : Debanshu Ratha; Eric Pottier; Avik Bhattacharya ...

Subjects: Signal Processing (eess.SP); FOS: Computer and information sciences; Standards

• Source: IEEE Transactions on Geoscience and Remote SensingIEEE Transactions on Geoscience and Remote Sensing, Institute of Electrical and Electronics Engineers, 2020, 58 (5), pp.3509-3525.

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Are Weighted Games Sufficiently Good for Binary Voting?

• Authors : Sascha Kurz

Subjects: FOS: Computer and information sciences; 91B12, 91A12; 05 social sciences

• Source: Homo Oeconomicus. 38:29-36

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