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  • Z. Yang, J. Li, P. Stoica, and L. Xie, "Sparse Methods for Direction-of-Arrival Estimation," in Academic Press Library in Signal Processing Volume 7, R. Chellappa and S. Theodoridis, Eds. Academic Press, 2018, pp. 509–581.

 

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节选论文（完整列表见Google Site）：

 

  1. X. Wu, Z. Yang*, and Z. Xu, "Multichannel frequency estimation with constant amplitude via convex structured low-rank approximation," SIAM Journal on Matrix Analysis and Applications, in press, 2024.

  2. Z. Yang, Y.-L. Mo, and Z. Xu, "Separation-free spectral super-resolution via convex optimization," Applied and Computational Harmonic Analysis, vol. 71, pp. 101650, 2024.

  3. Z. Yang, "Nonasymptotic performance analysis of ESPRIT and spatial-smoothing ESPRIT," IEEE Transactions on Information Theory, vol. 69, no. 1, pp. 666–681, 2023.

  4. X. Wu, Z. Yang*, and Z. Xu, "Multichannel frequency estimation in challenging scenarios via structured matrix embedding and recovery (StruMER)," IEEE Transactions on Signal Processing, vol. 71, 3242–3256, 2023.

  5. X. Wu, Z. Yang*, P. Stoica, and Z. Xu, "Maximum likelihood line spectral estimation in the signal domain: a rank-constrained structured matrix recovery approach," IEEE Transactions on Signal Processing, vol. 70, pp. 4156–4169, 2022.

  6. R. A. Horn and Z. Yang, "Rank of a Hadamard product," Linear Algebra and its Applications, vol. 591, pp. 87–98, 2020.

  7. Z. Yang, P. Stoica, and J. Tang, "Source resolvability of spatial-smoothing-based subspace methods: A Hadamard product perspective," IEEE Transactions on Signal Processing, vol. 67, no. 10, pp. 2543–2553, 2019.

  8. Z. Yang, J. Tang, Y. C. Eldar, and L. Xie, "On the sample complexity of multichannel frequency estimation via convex optimization," IEEE Transactions on Information Theory, vol. 65, no. 4, pp. 2302–2315, 2019.

  9. Z. Yang and L. Xie, "Exact joint sparse frequency recovery via optimization methods," IEEE Transactions on Signal Processing, vol. 64, no. 19, pp. 5145–5157, Oct 1, 2016. 

  10. Z. Yang, L. Xie and P. Stoica, "Vandermonde decomposition of multilevel Toeplitz matrices with application to multidimensional super-resolution," IEEE Transactions on Information Theory, vol. 62, no. 6, pp. 3685–3701, June 2016. 

  11. Z. Yang and L. Xie, "Enhancing sparsity and resolution via reweighted atomic norm minimization," IEEE Transactions on Signal Processing, vol. 64, no. 4, pp. 995–1006, Feb 15, 2016.

  12. Z. Yang and L. Xie, "On gridless sparse methods for line spectral estimation from complete and incomplete data," IEEE Transactions on Signal Processing, vol. 63, no. 12, pp. 3139–3153, June 15, 2015.

  13. Z. Yang, L. Xie, and C. Zhang, "A discretization-free sparse and parametric approach for linear array signal processing," IEEE Transactions on Signal Processing, vol. 62, no. 19, pp. 4959–4973, Oct 1, 2014. 

  14. Z. Yang, L. Xie, and C. Zhang, "Variational Bayesian algorithm for quantized compressed sensing," IEEE Transactions on Signal Processing, vol. 61, no. 11, pp. 2815–2824, 2013. 

  15. Z. Yang, L. Xie, and C. Zhang, "Off-grid direction of arrival estimation using sparse Bayesian inference," IEEE Transactions on Signal Processing, vol. 61, no. 1, pp. 38–43, 2013. 

  16. Z. Yang, C. Zhang, and L. Xie, "Robustly stable signal recovery in compressed sensing with structured matrix perturbation," IEEE Transactions on Signal Processing, vol. 60, no. 9, pp. 4658–4671, 2012. 

  17. Z. Yang, C. Zhang, J. Deng, and W. Lu, "Orthonormal expansion l1-minimization algorithms for compressed sensing," IEEE Transactions on Signal Processing, vol. 59, no. 12, pp. 6285–6290, 2011.