Results 1 to 10 of about 5,690,896 (110)

Wideband Spectrum Sensing Based on Single-Channel Sub-Nyquist Sampling for Cognitive Radio [PDF]

Sensors, 2018
Spectrum sensing is an important task in cognitive radio. However, currently available Analog-to-Digital Converters (ADC) can hardly satisfy the sampling rate requirement for wideband signals. Even with such an ADC, the cost is extremely high in terms of
Changjian Liu, Houjun Wang, Jie Zhang, Zongmiao He   +3 more
doaj   +2 more sources

Research on Fast Time–Frequency Reconstruction Algorithm for Wideband Compressive Spectrum Sensing [PDF]

Sensors
Cognitive Radio (CR) is widely acknowledged as a pivotal technology for mitigating the scarcity of spectrum resources, with Transform Domain Communication Systems (TDCSs) regarded as one of the primary candidate technologies for CR. However, conventional
Rangang Zhu, Ce Li, Yanhua Wu, Ruochen Wu , Zhengkun Zhang , Zunhui Wang , Yuliang Lu    +6 more
doaj   +2 more sources

A Joint Optimization Algorithm Using Adaptive Minimum Coset Number Based Discrete Multi-Coset Sampling

IEEE Access, 2020
We address the problem of sparse multi-band signal reconstruction in the case of unknown band position through the discrete multi-coset sampling (DMCS).
Jiannan Dong, Hongkun Li, Zhenfang Fan, Qiang Zhou, Shungang Hua   +4 more
doaj   +3 more sources

Pre-modulated multi-coset sampling system

Dianzi Jishu Yingyong, 2022
At present, the compressed sampling system mainly includes three sampling system: random demodulator，modulated wideband converter and multi-coset sampling, among them, the system framework of multi-coset sampling is simple and has a high reconstruction ...
Huang Zhen, Bai Zhengyao
doaj   +1 more source

Deep Learning for Compressed Sensing-Based Blade Vibration Reconstruction From Sub-Sampled Tip-Timing Signals

IEEE Access, 2023
Blade tip-timing (BTT) signals are always seriously under sampled, so reconstruction is much needed for vibration analysis. Blade vibration responses are sparse in order domain and classical compressed sensing (CS) algorithms are difficult to reconstruct
Zhongsheng Chen, Hao Sheng, Lianying Liao, Chengwu Liu, Yeping Xiong   +4 more
doaj   +1 more source

Sparse Multiband Signal Acquisition Receiver With Co-Prime Sampling

IEEE Access, 2018
Cognitive radio (CR) requires spectrum sensing over a broad frequency band. One of the crucial tasks in CR is to sample wideband signal at high sampling rate.
Yijiu Zhao, Shuangman Xiao
doaj   +1 more source

Low Complexity Sub-Nyquist Wideband Spectrum Sensing for Cognitive Radio

IEEE Access, 2018
In order to provide more available spectrum and quickly switchover, wideband spectrum sensing (WSS) is desirable for cognitive radio. Sub-Nyquist sampling is crucial for WSS to reduce energy and computational costs, while the existing algorithms based on
Jian Yang, Min Jia, Xuemai Gu, Qing Guo
doaj   +1 more source

Output-Only Vibration-Based Monitoring of Civil Infrastructure via Sub-Nyquist/Compressive Measurements Supporting Reduced Wireless Data Transmission

Frontiers in Built Environment, 2019
The consideration of wireless acceleration sensors is highly promising for cost-effective output-only system identification in the context of operational modal analysis (OMA) of large-scale civil structures as they alleviate the need for wiring. However,
Kyriaki Gkoktsi, Agathoklis Giaralis, Roman P. Klis, Vasilis Dertimanis, Eleni N. Chatzi   +4 more
doaj   +1 more source

Iteratively Learning Reconstruction of Blade Tip-Timing Signals and Cointegration-Based Damage Detection Under Variable Conditions

IEEE Access
Blade tip-timing (BTT) is a direct blade vibration monitoring technique and how to use under-sampled BTT signals for blade damage detection is still challenging under variable conditions. Compressed sensing (CS) has been introduced for reconstructing BTT
Zhongsheng Chen, Haopeng Liu, Lianying Liao   +2 more
doaj   +1 more source

Signal-Feature-Matched Non-Uniform Photonic Sampling and Broadband Waveform Reconstruction

Photonics
This paper proposes Non-Uniform Adaptive Acquisition (NUAA), a signal-feature-matched non-uniform adaptive photonic sampling framework that recovers broadband radio-frequency (RF) waveforms from highly sparse programmable non-uniform photonic sampling ...
Zhaoyu Li
doaj   +1 more source