Rana Muhammad Bilal

Computational Mechanics · 2013

A researcher in the Science corpus: 1 paper; trusts 18 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computational Mechanics — 43 citations into it
• Biomedical Engineering — 22 citations into it
• Computer Vision and Pattern Recognition — 16 citations into it
• Signal Processing — 12 citations into it
• Electrical and Electronic Engineering — 9 citations into it
• Radiology, Nuclear Medicine and Imaging — 9 citations into it
• Applied Mathematics — 7 citations into it

Whom Rana Muhammad Bilal trusts overall

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

1. E.J. Candes
2. David L. Donoho
3. Joel A. Tropp
4. Justin K. Romberg
5. Stéphane Mallat
6. Richard Baraniuk
7. Gitta Kutyniok
8. Deanna Needell
9. Terence Tao
10. Massimo Piccardi

Papers from Rana Muhammad Bilal's perspective

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

1. Atomic Decomposition by Basis Pursuit
2. Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information
3. Regression Shrinkage and Selection via the Lasso
4. Stable signal recovery from incomplete and inaccurate measurements
5. Near-Optimal Signal Recovery From Random Projections: Universal Encoding Strategies?
6. CoSaMP: Iterative signal recovery from incomplete and inaccurate samples (arXiv.org)
7. Matching pursuits with time-frequency dictionaries
8. Gradient Projection for Sparse Reconstruction: Application to Compressed Sensing and Other Inverse Problems (IEEE Journal on Selected Topics in Signal Processing)
9. Exact Matrix Completion via Convex Optimization
10. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)

Their papers

• Compressive sensing: From theory to applications, a survey (2013) — 463 citations