Lu Gan

Computational Mechanics · International Conference on Digital Signal Processing · 2007–2011

A researcher in the Science corpus: 3 papers; trusts 16 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

• Computational Mechanics — 28 citations into it; #2,061 of 10,001 by trust here, #5,813 by citations
• Computer Vision and Pattern Recognition — 14 citations into it; #6,607 of 21,575 by trust here, #19,310 by citations
• Signal Processing — 12 citations into it; #6,600 of 7,572 by trust here, #6,836 by citations
• Biomedical Engineering — 11 citations into it; #8,413 of 10,734 by trust here, #9,032 by citations
• Applied Mathematics — 5 citations into it
• Radiology, Nuclear Medicine and Imaging — 5 citations into it

Whom Lu Gan trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. David L. Donoho
2. Justin K. Romberg
3. Joel A. Tropp
4. E.J. Candes
5. Yaakov Tsaig
6. Ingrid Daubechies
7. Terence Tao
8. Michel Ledoux
9. Wei Dai
10. Ewout van den Berg

Who trusts Lu Gan overall

1. Sungkwang Mun
2. Christopher A. Metzler
3. Wuzhen Shi
4. James E. Fowler
5. Richard Baraniuk
6. Arian Maleki
7. Feng Jiang
8. Marco F. Duarte
9. Hichem Guerboukha
10. Shaohui Liu

Papers from Lu Gan's perspective

Ordered by how strongly the researchers Lu Gan trusts endorse each paper. Same corpus, a different order for every researcher.

1. Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information
2. Stable signal recovery from incomplete and inaccurate measurements
3. CoSaMP: Iterative signal recovery from incomplete and inaccurate samples (arXiv.org)
4. Near-Optimal Signal Recovery From Random Projections: Universal Encoding Strategies?
5. Uncertainty principles and ideal atomic decomposition
6. Decoding by linear programming
7. Greed is good: algorithmic results for sparse approximation (IEEE Transactions on Information Theory)
8. Atomic Decomposition by Basis Pursuit
9. Regression Shrinkage and Selection via the Lasso
10. Signal Recovery From Incomplete and Inaccurate Measurements Via Regularized Orthogonal Matching Pursuit (IEEE Journal on Selected Topics in Signal Processing)

Their papers

• Block Compressed Sensing of Natural Images (2007) — 790 citations
• Sparsity adaptive matching pursuit algorithm for practical compressed sensing (2008) — 580 citations
• Fast and Efficient Compressive Sensing Using Structurally Random Matrices (2011) — 377 citations