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Grid Adaptive DOA Estimation Method in Monostatic MIMO Radar Using Sparse Bayesian Learning.

Y. Wang, K. You, D. Wang, и W. Guo. CSPS, том 571 из Lecture Notes in Electrical Engineering, стр. 165-178. Springer, (2019)

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You Huh

You Mahman

Hyunseng You

An You

Anna You

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Joint Sparse-AR Model Based OFDM Compressed Sensing Time-Varying Channel Estimation.S. Li, K. You, Y. Liu, и W. Guo. CSPS (1), том 515 из Lecture Notes in Electrical Engineering, стр. 762-771. Springer, (2018)Sparse Bayesian Learning for Multiple Sources Localization with Unknown Propagation Parameters.K. You, W. Guo, P. Zuo, Y. Liu, и W. Wang. PIMRC, стр. 1-6. IEEE, (2019)RSS-Based Multiple Co-Channel Sources Localization With Unknown Shadow Fading and Transmitted Power.Y. Chu, W. Guo, K. You, L. Zhao, T. Peng, и W. Wang. IEEE Trans. Veh. Technol., 71 (12): 13344-13355 (2022)Parametric Sparse Bayesian Dictionary Learning for Multiple Sources Localization With Propagation Parameters Uncertainty.K. You, W. Guo, T. Peng, Y. Liu, P. Zuo, и W. Wang. IEEE Trans. Signal Process., (2020)Graph Learning Based on Spatiotemporal Smoothness for Time-Varying Graph Signal.Y. Liu, L. Yang, K. You, W. Guo, и W. Wang. IEEE Access, (2019)Grid Evolution: Joint Dictionary Learning and Sparse Bayesian Recovery for Multiple Off-Grid Targets Localization.K. You, W. Guo, Y. Liu, W. Wang, и Z. Sun. IEEE Commun. Lett., 22 (10): 2068-2071 (2018)Graph Learning for Spatiotemporal Signals With Long- and Short-Term Characterization.Y. Liu, W. Guo, K. You, L. Zhao, T. Peng, и W. Wang. IEEE Trans. Signal Inf. Process. over Networks, (2020)Delaunay triangulation and mesh grid combining algorithm for multiple targets localization using compressive sensing.X. Lin, K. You, и W. Guo. WPMC, стр. 25-30. IEEE, (2016)Bounds and Methods for Multiple Directional Sources Localization Based on RSS Measurements.T. Peng, P. Zuo, K. You, H. Jing, W. Guo, и W. Wang. IEEE Access, (2019)Graph Learning for Spatiotemporal Dynamic Signal.Y. Liu, K. You, W. Guo, T. Peng, и W. Wang. ICC, стр. 1-6. IEEE, (2019)

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