Raghavendra B. Deshmukh

Computational Mechanics · 2018

A researcher in the Science corpus: 1 paper; trusts 17 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Raghavendra B. Deshmukh trusts overall

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

  1. E.J. Candes
  2. Justin K. Romberg
  3. Joel A. Tropp
  4. Robert Tibshirani
  5. Stanley J. Osher
  6. Thomas Blumensath
  7. Stéphane Mallat
  8. David L. Donoho
  9. Tom Goldstein
  10. Deanna Needell

Papers from Raghavendra B. Deshmukh's perspective

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

  1. Atomic Decomposition by Basis Pursuit
  2. Regression Shrinkage and Selection via the Lasso
  3. Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information
  4. Gradient Projection for Sparse Reconstruction: Application to Compressed Sensing and Other Inverse Problems (IEEE Journal on Selected Topics in Signal Processing)
  5. Matching pursuits with time-frequency dictionaries
  6. CoSaMP: Iterative signal recovery from incomplete and inaccurate samples (arXiv.org)
  7. The Dantzig selector: Statistical estimation when P is much larger than n
  8. An Introduction To Compressive Sampling
  9. Sparsity and incoherence in compressive sampling
  10. Compressive Sampling

Their papers