David Atienza Alonso

Computational Mechanics · 2010–2020

A researcher in the Science corpus: 4 papers; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom David Atienza Alonso trusts overall

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

  1. E.J. Candes
  2. Joel A. Tropp
  3. Robert H. Morelos-Zaragoza
  4. David L. Donoho
  5. Terence Tao
  6. Paul S. Addison
  7. Ewout van den Berg
  8. Ingrid Daubechies
  9. Scott Shaobing Chen

Papers from David Atienza Alonso's perspective

Ordered by how strongly the researchers David Atienza Alonso 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. Decoding by linear programming
  3. Near-Optimal Signal Recovery From Random Projections: Universal Encoding Strategies?
  4. Stable signal recovery from incomplete and inaccurate measurements
  5. Atomic Decomposition by Basis Pursuit
  6. Uncertainty principles and ideal atomic decomposition
  7. Gradient Projection for Sparse Reconstruction: Application to Compressed Sensing and Other Inverse Problems (IEEE Journal on Selected Topics in Signal Processing)
  8. An iterative thresholding algorithm for linear inverse problems with a sparsity constraint
  9. Greed is good: algorithmic results for sparse approximation (IEEE Transactions on Information Theory)
  10. Probing the Pareto Frontier for Basis Pursuit Solutions (SIAM Journal on Scientific Computing)

Their papers