Guoan Bi
researcher
Facts
6 properties- Instance of
- human
- Date of birth
- January 20, 1954
- Occupation
- researcher, electrical engineer
- Educated at
- University of Essex[5]
🏷️ Also known as
en Guoan Bi
🔖 Identifiers · 12
- ISNI
- 0000000114641720
- ORCID iD
- 0000-0002-9011-9181
- VIAF cluster ID
- 163938737
- Library of Congress authority ID
- n2002162107
- GND ID
- 141639903
- DBLP author ID
- 12/201
- Dimensions author ID
- 015217671363.60
- IEEE Xplore author ID
- 37280818700
- National Library of Israel J9U ID
- 987007604881805171
- Scopus author ID
- 7102069451
- WorldCat Entities ID
- E39PBJkMHRBBxPkRW7V77xGyh3
- Yale LUX ID
- person/2976a80d-915a-493a-adfb-1f5dc72eebb1
🔗 Connections
Author of 41
Airborne SAR Moving Target Signatures and Imagery Based on LVD,
Alternative to Extended Block Sparse Bayesian Learning and Its Relation to Pattern-Coupled Sparse Bayesian Learning,
An improved iterative thresholding algorithm for L1-norm regularization based sparse SAR imaging,
A novel iterative soft thresholding algorithm for L1 regularization based SAR image enhancement,
A Survey on Protograph LDPC Codes and Their Applications,
Bayesian High Resolution Range Profile Reconstruction of High-Speed Moving Target From Under-Sampled Data,
Complex-Image-Based Sparse SAR Imaging and its Equivalence,
Computationally Efficient Wide-Band DOA Estimation Methods Based on Sparse Bayesian Framework
+33 more
← Authored by 41
Airborne SAR Moving Target Signatures and Imagery Based on LVD,
Alternative to Extended Block Sparse Bayesian Learning and Its Relation to Pattern-Coupled Sparse Bayesian Learning,
An improved iterative thresholding algorithm for L1-norm regularization based sparse SAR imaging,
A novel iterative soft thresholding algorithm for L1 regularization based SAR image enhancement,
A Survey on Protograph LDPC Codes and Their Applications,
Bayesian High Resolution Range Profile Reconstruction of High-Speed Moving Target From Under-Sampled Data,
Complex-Image-Based Sparse SAR Imaging and its Equivalence,
Computationally Efficient Wide-Band DOA Estimation Methods Based on Sparse Bayesian Framework
+33 more
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