Results 81 to 90 of about 70,734 (340)
Sensor Signal and Information Processing II
Sensors, 2020 This Special Issue compiles a set of innovative developments on the use of sensor signals and information processing. In particular, these contributions report original studies on a wide variety of sensor signals including wireless communication ...
Wai Lok Woo, Bin Gao
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Customizing Tactile Sensors via Machine Learning‐Driven Inverse Design
Advanced Science, EarlyView.ABSTRACT Replicating the sophisticated sense of touch in artificial systems requires tactile sensors with precisely tailored properties. However, manually navigating the complex microstructure‐property relationship results in inefficient and suboptimal designs.
Baocheng Wang +15 more
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A Bayesian Compressive Sensing Vehicular Location Method Based on Three-Dimensional Radio Frequency
International Journal of Distributed Sensor Networks, 2014 In vehicular ad hoc networks (VANETs) safety applications, vehicular position is fundamental information to achieve collision avoidance and fleet management.
Yunpeng Wang +5 more
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Off-grid Direction of Arrival Estimation Using Sparse Bayesian Inference
, 2012 Direction of arrival (DOA) estimation is a classical problem in signal processing with many practical applications. Its research has recently been advanced owing to the development of methods based on sparse signal reconstruction.
Xie, Lihua, Yang, Zai, Zhang, Cishen
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Sustainable Materials Design With Multi‐Modal Artificial Intelligence
Advanced Science, EarlyView.Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu +8 more
wiley +1 more source
International Journal of Antennas and Propagation, 2015 A novel technique for localization of narrowband near-field sources is presented. The technique utilizes the sensor-angle distribution (SAD) that treats the source range and direction-of-arrival (DOA) information as sensor-dependent phase progression ...
Si Qin +3 more
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Pushing towards the Limit of Sampling Rate: Adaptive Chasing Sampling
, 2015 Measurement samples are often taken in various monitoring applications. To reduce the sensing cost, it is desirable to achieve better sensing quality while using fewer samples.
Li, Ying, Wang, Xin, Xie, Kun
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Robust Bayesian compressed sensing with outliers
Signal Processing, 2017 Abstract We consider the problem of robust compressed sensing where the objective is to recover a high-dimensional sparse signal from compressed measurements partially corrupted by outliers. A new sparse Bayesian learning method is developed for this purpose.
Qian Wan +4 more
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Advanced Science, EarlyView.This review systematically explores the recent advances in in situ polymerized composite polymer electrolytes (CPEs) for solid‐state lithium batteries. It covers the fundamentals of reaction mechanisms, monomer chemistry, and their impact on interfacial stability, ionic conductivity, and electrochemical performance.
Jialin Li +9 more
wiley +1 more source
Compressed Sensing with uncertainty - the Bayesian estimation perspective
2015 IEEE 6th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 2015 The Compressed Sensing (CS) framework outperforms the sampling rate limits given by Shannon's theory. This gap is possible since it is assumed that the signal of interest admits a linear decomposition of few vectors in a given sparsifying Basis (Fourier, Wavelet, …).
Bernhardt, Stéphanie +3 more
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