Ali Pezeshki

Computational Mechanics · 2010

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Ali Pezeshki trusts overall

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

  1. E.J. Candes
  2. Richard Baraniuk
  3. Terence Tao
  4. Joel A. Tropp

Who trusts Ali Pezeshki overall

  1. E.J. Candes
  2. Bo Li
  3. Hao Zhu

Papers from Ali Pezeshki's perspective

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

  1. Decoding by linear programming
  2. Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information
  3. CoSaMP: Iterative signal recovery from incomplete and inaccurate samples (arXiv.org)
  4. An Introduction To Compressive Sampling
  5. Compressive Radar Imaging (International Radar Conference)
  6. High-Resolution Radar via Compressed Sensing (IEEE Transactions on Signal Processing)
  7. Compressive Sampling
  8. Compressive Sensing
  9. General Deviants: An Analysis of Perturbations in Compressed Sensing (IEEE Journal on Selected Topics in Signal Processing)
  10. Compressed Channel Sensing: A New Approach to Estimating Sparse Multipath Channels (Proceedings of the IEEE)

Their papers