Cikkek nyilvánosan hozzáférhető megbízással - Zihang SongTovábbi információ
Sehol sem hozzáférhető: 10
Intelligent tuning method of PID parameters based on iterative learning control for atomic force microscopy
H Liu, Y Li, Y Zhang, Y Chen, Z Song, Z Wang, S Zhang, J Qian
Micron 104, 26-36, 2018
Megbízások: National Natural Science Foundation of China
Adaptive compressed spectrum sensing for multiband signals
J Yang, Z Song, Y Gao, X Gu, Z Feng
IEEE transactions on wireless communications 20 (11), 7642-7654, 2021
Megbízások: National Natural Science Foundation of China, UK Engineering and Physical …
A homemade atomic force microscope based on a quartz tuning fork for undergraduate instruction
Y Li, L Zhang, G Shan, Z Song, R Yang, H Li, J Qian
American Journal of Physics 84 (6), 478-482, 2016
Megbízások: National Natural Science Foundation of China
Wavelet analysis of higher harmonics in tapping mode atomic force microscopy
Z Wang, J Qian, Y Li, Y Zhang, Z Song, Z Dou, R Lin
Micron 118, 58-64, 2019
Megbízások: National Natural Science Foundation of China
A fast image reconstruction method based on Bayesian compressed sensing for the undersampled AFM data with noise
Y Zhang, Y Li, Z Wang, Z Song, R Lin, J Qian, J Yao
Measurement Science and Technology 30 (2), 025402, 2019
Megbízások: National Natural Science Foundation of China
Time-frequency analysis of the tip motion in liquids using the wavelet transform in dynamic atomic force microscopy
Z Wang, J Qian, Y Li, Y Zhang, G Shan, Z Dou, Z Song, R Lin
Nanotechnology 29 (38), 385702, 2018
Megbízások: National Natural Science Foundation of China
Nonuniform Sampling Pattern Design for Compressed Spectrum Sensing in Mobile Cognitive Radio Networks
Z Song, Y She, J Yang, J Peng, Y Gao, R Tafazolli
IEEE Transactions on Mobile Computing 23 (9), 8680-8693, 2024
Megbízások: UK Engineering and Physical Sciences Research Council
Adversarial autoencoder empowered joint anomaly detection and signal reconstruction from sub-nyquist samples
H Zhang, Z Song, J Yang, Y Gao
IEEE Transactions on Cognitive Communications and Networking 9 (3), 618-628, 2023
Megbízások: UK Engineering and Physical Sciences Research Council
A double-electrolyte etching method of high-quality tungsten probe for undergraduate scanning tunneling microscopy and atomic force microscopy experiments
Y Li, Z Song, Y Zhang, Z Wang, Z Xu, R Lin, J Qian
European Journal of Physics 40 (2), 025004, 2019
Megbízások: National Natural Science Foundation of China
Prediction-Assisted Compressed Spectrum Sensing
Z Song, J Yang, H Zhang, J Peng, Y Gao
2023 IEEE/CIC International Conference on Communications in China (ICCC), 1-6, 2023
Megbízások: UK Engineering and Physical Sciences Research Council
Valahol hozzáférhető: 10
Real-time multi-gigahertz sub-Nyquist spectrum sensing system for mmwave
Z Song, H Qi, Y Gao
Proceedings of the 3rd ACM Workshop on Millimeter-wave Networks and Sensing …, 2019
Megbízások: UK Engineering and Physical Sciences Research Council
A survey on spectrum sensing and learning technologies for 6G
Z Song, Y Gao, R Tafazolli
IEICE Transactions on Communications 104 (10), 1207-1216, 2021
Megbízások: UK Engineering and Physical Sciences Research Council
Approaching sub-nyquist boundary: Optimized compressed spectrum sensing based on multicoset sampler for multiband signal
Z Song, J Yang, H Zhang, Y Gao
IEEE Transactions on Signal Processing 70, 4225-4238, 2022
Megbízások: UK Engineering and Physical Sciences Research Council
A high-Q AFM sensor using a balanced trolling quartz tuning fork in the liquid
Y Zhang, Y Li, Z Song, R Lin, Y Chen, J Qian
Sensors 18 (5), 1628, 2018
Megbízások: National Natural Science Foundation of China
Sub-Nyquist spectrum sensing and learning challenge
Y Gao, Z Song, H Zhang, S Fuller, A Lambert, Z Ying, P Mähönen, Y Eldar, ...
Frontiers of Computer Science 15, 1-5, 2021
Megbízások: UK Engineering and Physical Sciences Research Council
Neuromorphic In-Context Learning for Energy-Efficient MIMO Symbol Detection
Z Song, O Simeone, B Rajendran
2024 IEEE 25th International Workshop on Signal Processing Advances in …, 2024
Megbízások: UK Engineering and Physical Sciences Research Council, European Commission
A novel method to remove impulse noise from atomic force microscopy images based on Bayesian compressed sensing
Y Zhang, Y Li, Z Song, Z Wang, J Qian, J Yao
Beilstein Journal of Nanotechnology 10 (1), 2346-2356, 2019
Megbízások: National Natural Science Foundation of China
Stochastic Spiking Attention: Accelerating Attention with Stochastic Computing in Spiking Networks
Z Song, P Katti, O Simeone, B Rajendran
2024 IEEE 6th International Conference on AI Circuits and Systems (AICAS), 2024
Megbízások: UK Engineering and Physical Sciences Research Council, European Commission
GBSense: A GHz-Bandwidth Compressed Spectrum Sensing System
Z Song, X Zhang, Z Chen, R Tafazolli, Y Gao
IEEE Transactions on Circuits and Systems I: Regular Papers, 2025
Megbízások: UK Engineering and Physical Sciences Research Council
Numerical evaluation on sub-Nyquist spectrum reconstruction methods.
Z Song, H Zhang, S Fuller, A Lambert, Z Ying, P Mähönen, YC Eldar, ...
Frontiers Comput. Sci. 17 (6), 176504, 2023
Megbízások: UK Engineering and Physical Sciences Research Council
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