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Publication search results
found 171 matches
- 2024
- Dan Rosen, Daniel Scarbrough, Jeff Squier, Michael B. Wakin:
Phase retrieval from integrated intensity of auto-convolution. Signal Process. 220: 109464 (2024) - Dan Rosen, Michael B. Wakin:
Bivariate retrieval from intensity of cross-correlation. Signal Process. 215: 109267 (2024) - Zhen Qin, Casey Jameson, Zhexuan Gong, Michael B. Wakin, Zhihui Zhu:
Quantum State Tomography for Matrix Product Density Operators. IEEE Trans. Inf. Theory 70(7): 5030-5056 (2024) - Yifan Wu, Michael B. Wakin, Peter Gerstoft:
Non-Uniform Array and Frequency Spacing for Regularization-Free Gridless DOA. IEEE Trans. Signal Process. 72: 2006-2020 (2024) - Yifan Wu, Michael B. Wakin, Peter Gerstoft, Yongsung Park:
Non-Uniform Frequency Spacing for Regularization-Free Gridless DOA. ICASSP 2024: 9291-9295 - Yongsung Park, Peter Gerstoft, Yifan Wu, Michael B. Wakin:
Atomic Norm Denoising for Multi-Frequency-Snapshot Doa Estimation. SAM 2024: 1-5 - Zhen Qin, Michael B. Wakin, Zhihui Zhu:
Guaranteed Nonconvex Factorization Approach for Tensor Train Recovery. CoRR abs/2401.02592 (2024) - 2023
- Anna Titova, Michael B. Wakin, Ali C. Tura:
Achieving Robust Compressive Sensing Seismic Acquisition with a Two-Step Sampling Approach. Sensors 23(23): 9519 (2023) - Justin Jayne, Michael B. Wakin, Roel Snieder:
Green's function estimation by seismic interferometry from limited frequency samples. Signal Process. 205: 108863 (2023) - Yifan Wu, Michael B. Wakin, Peter Gerstoft:
Gridless DOA Estimation With Multiple Frequencies. IEEE Trans. Signal Process. 71: 417-432 (2023) - Zhen Qin, Casey Jameson, Zhexuan Gong, Michael B. Wakin, Zhihui Zhu:
Stable Tomography for Structured Quantum States. CoRR abs/2306.09432 (2023) - 2022
- Roel Snieder, Michael B. Wakin:
When Randomness Helps in Undersampling. SIAM Rev. 64(4): 1062-1080 (2022) - Shuang Li, Gongguo Tang, Michael B. Wakin:
Landscape Correspondence of Empirical and Population Risks in the Eigendecomposition Problem. IEEE Trans. Signal Process. 70: 2985-2999 (2022) - Marc Andrew Valdez, Alex J. Yuffa, Michael B. Wakin:
Compressive Sensing With Wigner $D$-Functions on Subsets of the Sphere. IEEE Trans. Signal Process. 70: 5652-5667 (2022) - Yifan Wu, Michael B. Wakin, Peter Gerstoft:
Gridless DOA Estimation Under the Multi-Frequency Model. ICASSP 2022: 5982-5986 - Zhen Qin, Alexander Lidiak, Zhexuan Gong, Gongguo Tang, Michael B. Wakin, Zhihui Zhu:
Error Analysis of Tensor-Train Cross Approximation. NeurIPS 2022 - Marc Andrew Valdez, Alex J. Yuffa, Michael B. Wakin:
Restricted Domain Compressive Sensing for Antenna Metrology. CoRR abs/2206.03572 (2022) - Zhen Qin, Alexander Lidiak, Zhexuan Gong, Gongguo Tang, Michael B. Wakin, Zhihui Zhu:
Error Analysis of Tensor-Train Cross Approximation. CoRR abs/2207.04327 (2022) - 2021
- Zhihui Zhu, Qiuwei Li, Gongguo Tang, Michael B. Wakin:
The Global Optimization Geometry of Low-Rank Matrix Optimization. IEEE Trans. Inf. Theory 67(2): 1308-1331 (2021) - Youye Xie, Michael B. Wakin, Gongguo Tang:
Data-driven Parameter Estimation Of Contaminated Damped Exponentials. ACSCC 2021: 800-804 - Youye Xie, Michael B. Wakin, Gongguo Tang:
Data-driven Support Recovery for Sparse Signals with Non-stationary Modulation. ICMLA 2021: 1641-1646 - Youye Xie, Michael B. Wakin, Gongguo Tang:
Contaminated Multiband Signal Identification Via Deep Learning. SSP 2021: 76-80 - Shuang Li, Payam Nayeri, Michael B. Wakin:
Digital Beamforming Robust to Time-Varying Carrier Frequency Offset. CoRR abs/2103.04948 (2021) - Shuang Li, Gongguo Tang, Michael B. Wakin:
Landscape Correspondence of Empirical and Population Risks in the Eigendecomposition Problem. CoRR abs/2106.06574 (2021) - Shuang Li, Michael B. Wakin:
Recovery Guarantees for Time-varying Pairwise Comparison Matrices with Non-transitivity. CoRR abs/2106.09151 (2021) - 2020
- Zhihui Zhu, Daniel Soudry, Yonina C. Eldar, Michael B. Wakin:
The Global Optimization Geometry of Shallow Linear Neural Networks. J. Math. Imaging Vis. 62(3): 279-292 (2020) - Shuang Li, Qiuwei Li, Zhihui Zhu, Gongguo Tang, Michael B. Wakin:
The Global Geometry of Centralized and Distributed Low-rank Matrix Recovery Without Regularization. IEEE Signal Process. Lett. 27: 1400-1404 (2020) - Shuang Li, Michael B. Wakin, Gongguo Tang:
Atomic Norm Denoising for Complex Exponentials With Unknown Waveform Modulations. IEEE Trans. Inf. Theory 66(6): 3893-3913 (2020) - Youye Xie, Michael B. Wakin, Gongguo Tang:
Support Recovery for Sparse Signals With Unknown Non-Stationary Modulation. IEEE Trans. Signal Process. 68: 1884-1896 (2020) - Shuang Li, Stephen Becker, Michael B. Wakin:
Nuclear Norm Based Spectrum Estimation for Molecular Dynamic Simulations. ACSSC 2020: 1457-1461
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