Waheed Uz Zaman Bajwa
Computational Mechanics · 2006–2010
A researcher in the Science corpus: 5 papers; trusts 29 researchers and is trusted by 11 researchers here, as inferred from the citation graph.
Subfields
- Computational Mechanics — 50 citations into it; #3,642 of 10,001 by trust here, #1,671 by citations
- Computer Networks and Communications — 21 citations into it; #8,292 of 9,886 by trust here, #3,523 by citations
- Biomedical Engineering — 20 citations into it; #3,087 of 10,734 by trust here, #3,707 by citations
- Computer Vision and Pattern Recognition — 20 citations into it
- Electrical and Electronic Engineering — 19 citations into it; #7,091 of 16,539 by trust here, #8,627 by citations
- Applied Mathematics — 17 citations into it
- Signal Processing — 13 citations into it
- Aerospace Engineering — 9 citations into it
Whom Waheed Uz Zaman Bajwa trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- E.J. Candes
- Joel A. Tropp
- Jarvis D. Haupt
- Robert D. Nowak
- Terence Tao
- Stephen J. Wright
- Akbar M. Sayeed
- Andrea J. Goldsmith
- Justin K. Romberg
- Mark Rudelson
Who trusts Waheed Uz Zaman Bajwa overall
- Jarvis D. Haupt
- Shajahan Kutty
- Mingyao Cui
- Omid Salehi-Abari
- Nam H. Nguyen
- Robert W. Heath
- Junho Lee
- Jianhua Mo
- Linglong Dai
- Gongguo Tang
Papers from Waheed Uz Zaman Bajwa's perspective
Ordered by how strongly the researchers Waheed Uz Zaman Bajwa trusts endorse each paper. Same corpus, a different order for every researcher.
- Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information
- Stable signal recovery from incomplete and inaccurate measurements
- An iterative thresholding algorithm for linear inverse problems with a sparsity constraint
- CoSaMP: Iterative signal recovery from incomplete and inaccurate samples (arXiv.org)
- The Dantzig selector: Statistical estimation when P is much larger than n
- Regression Shrinkage and Selection via the Lasso
- Compressed Sensing
- Sparse Reconstruction by Separable Approximation
- Atomic Decomposition by Basis Pursuit
- Near-Optimal Signal Recovery From Random Projections: Universal Encoding Strategies?
Their papers
- Toeplitz Compressed Sensing Matrices With Applications to Sparse Channel Estimation (2010) — 437 citations
- Compressed Channel Sensing: A New Approach to Estimating Sparse Multipath Channels (2010) — 1,148 citations
- Compressive wireless sensing (2006) — 373 citations
- Compressed Sensing for Networked Data (2008) — 555 citations
- Toeplitz-Structured Compressed Sensing Matrices (2007) — 341 citations