activity
20092014
most citedModified-CS: Modifying Compressive Sensing for Problems with Partially Known Support

534 citations · 648 across the 5 of their papers we have counts for

collaborators

5 papers

q-bio.QM2014★ 19 cited

Replicating Kernels with a Short Stride Allows Sparse Reconstructions with Fewer Independent Kernels

Peter F. Schultz, Dylan M. Paiton, Wei Lu +1

In sparse coding it is common to tile an image into nonoverlapping patches, and then use a dictionary to create a sparse representation of each tile independently. In this situatio…

cs.IT2011★ 11 cited

Exact Reconstruction Conditions for Regularized Modified Basis Pursuit

Wei Lu, Namrata Vaswani

In this correspondence, we obtain exact recovery conditions for regularized modified basis pursuit (reg-mod-BP) and discuss when the obtained conditions are weaker than those for m…

cs.IT2010★ 83 cited

Regularized Modified BPDN for Noisy Sparse Reconstruction with Partial Erroneous Support and Signal Value Knowledge

Wei Lu, Namrata Vaswani

We study the problem of sparse reconstruction from noisy undersampled measurements when the following two things are available. (1) We are given partial, and partly erroneous, know…

cs.IT2009★ 1 cited

Modified Basis Pursuit Denoising(MODIFIED-BPDN) for Noisy Compressive Sensing with Partially Known Support

Wei Lu, Namrata Vaswani

In this work, we study the problem of reconstructing a sparse signal from a limited number of linear 'incoherent' noisy measurements, when a part of its support is known. The known…

cs.IT2009★ 534 cited

Modified-CS: Modifying Compressive Sensing for Problems with Partially Known Support

Namrata Vaswani, Wei Lu

We study the problem of reconstructing a sparse signal from a limited number of its linear projections when a part of its support is known, although the known part may contain some…