7 Papers
1 Citations
Li Bin is an academic researcher from Northwest University (China). The author has contributed to research in topics: Computer science & Modulation. The author has an hindex of 3, co-authored 7 publications.
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Papers
Shallow–Deep Convolutional Network and Spectral-Discrimination-Based Detail Injection for Multispectral Imagery Pan-Sharpening
TL;DR: A novel deep-learning-based MS image pan-sharpening method that combines a shallow–deep convolutional network (SDCN) and a spectral discrimination-based detail injection (SDDI) model, inspired by the "Amélioration de la Résolution Spatial par Injection de Structures" concept is proposed.
Complex Human Pose Estimation via Keypoints Association Constraint Network
TL;DR: Experiments show that this method can effectively suppress background interference to improve the accuracy of complex human pose estimation and accurately locate, classify, and connect the human body keypoints robustly.
10
Directional Modulation Technique Using a Polarization Sensitive Array for Physical Layer Security Enhancement
TL;DR: Simulations corroborate that the proposed method is more effective for PLS; the proposed DM scheme is more power-efficient than the traditional artificial noise aided DM schemes; and the channel capacity is significantly improved compared with conventional scalar antenna arrays.
2
Patent
Safe and accurate wireless transmission method based on multi-phased array direction modulation
Zhang Wei,Peng Jinye,Zhu Xuan,Li Bin,Wang Jun,Yue Mingnan +5 more
- 22 Oct 2019
TL;DR: In this article, a safe and accurate wireless transmission method based on multi-phased array direction modulation was proposed, where the sending end encodes the voice information to generate a binary digital sequence and the receiving end receives baseband signals through a single-phase phased array, respectively receives signals from K directions to obtain K paths of symbols, performs serial-to-parallel conversion to obtain a path of symbol sequence, performs demodulation, and performs decoding to recover voice information.
Patent
Moving object extraction method based on monitoring video
Li Bin,Qiu Shi,Peng Jinye,Zhu Xuan,Wang Jun,Yue Mingnan,Zhang Wei +6 more
- 18 Oct 2019
TL;DR: In this article, a moving object extraction method based on monitoring video is proposed, which comprises the steps of obtaining a preliminary suspected moving area Arn in An according to a Gaussian mixture model of An, calculating a suspected motion area Dn in An; calculating an intersection J of Arn and {Drn} M; if so, calculating the final motion area in An.