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ORCIDWenyuan Xu 0002
Person information
- affiliation (PhD 1993): University of Minnesota, Department of Electrical Engineering, MN, USA
Other persons with the same name
- Wenyuan Xu — disambiguation page
- Wenyuan Xu 0001
![[0000-0002-5043-9148]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-5043-9148")
— Zhejiang University, China - Wenyuan Xu 0003 — Northeast Forestry University, School of Civil Engineering, Harbin, China
- Wenyuan Xu 0004 — China Shipbuilding Industry, Systems Engineering Research Institute, Beijing, China
- Wenyuan Xu 0005 — University of South Carolina, Department of Computer Science and Engineering, Columbia, SC, USA (and 1 more)
- Wenyuan Xu 0006 — Yangzhou University, School of Information Engineering, China
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1990 – 1999
- 1996
[j4]Wenyuan Xu, Mostafa Kaveh:
Comparative study of the biases of MUSIC-like estimators. Signal Process. 50(1-2): 39-55 (1996)- [j3]Yu-Li You, Wenyuan Xu, Allen R. Tannenbaum, Mostafa Kaveh:
Behavioral analysis of anisotropic diffusion in image processing . IEEE Trans. Image Process. 5(11): 1539-1553 (1996) - [j2]Wenyuan Xu, Mostafa Kaveh:
Design of two MUSIC-like estimators based on bias minimization. IEEE Trans. Signal Process. 44(9): 2284-2299 (1996) - [c5]Wenyuan Xu, Mostafa Kaveh:
L∞ blind deconvolution for the generalized AR model. EUSIPCO 1996: 1-5 - 1995
- [j1]Wenyuan Xu, Mostafa Kaveh:
Analysis of the performance and sensitivity of eigendecomposition-based detectors. IEEE Trans. Signal Process. 43(6): 1413-1426 (1995) - [c4]Wenyuan Xu, Mostafa Kaveh:
Theoretical comparison for biases of MUSIC-like DOA estimators. ICASSP 1995: 1653-1656 - [c3]Yu-Li You, Wenyuan Xu, Mostafa Kaveh, Allen R. Tannenbaum:
On ill-posed anisotropic diffusion models. ICIP 1995: 268-271 - 1994
- [c2]Wenyuan Xu, Mostafa Kaveh:
Alternatives for the definition and evaluation of resolution thresholds of signal-subspace parameter estimators. ICASSP (4) 1994: 209-212 - [c1]Yu-Li You, Mostafa Kaveh, Wenyuan Xu, Allen R. Tannenbaum:
Analysis and Design of Anisotropic Diffusion for Image Processing. ICIP (2) 1994: 497-501
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