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M. Salman Asif

University of California Riverside

42 papers hereh-index 292.7k citations100 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author1
  • first author7
  • middle author17
  • last author16

Across the 41 of 42 papers where every author was matched, so the position is known.

fields
  • cs.CV23
  • eess.IV10
  • cs.IT4
  • cs.LG3
  • physics.plasm-ph1
  • stat.CO1
affiliations
  • University of California Riverside
Homepage
same name
  • M. Salman Asif — 1 paper

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20092026
most citedDynamic Updating for L1 Minimization

113 citations · 463 across the 36 of their papers we have counts for

collaborators
Showing cs.ITShow all

4 papers · 1 filter

cs.IT2018

Phase Retrieval for Signals in Union of Subspaces

M. Salman Asif, Chinmay Hegde

We consider the phase retrieval problem for signals that belong to a union of subspaces. We assume that amplitude measurements of the signal of length n are observed after passin…

cs.IT2013★ 28 cited

Sparse Recovery of Streaming Signals Using L1-Homotopy

M. Salman Asif, Justin Romberg

Most of the existing methods for sparse signal recovery assume a static system: the unknown signal is a finite-length vector for which a fixed set of linear measurements and a spar…

cs.IT2009★ 8 cited

Channel Protection: Random Coding Meets Sparse Channels

M. Salman Asif, William Mantzel, Justin Romberg

Multipath interference is an ubiquitous phenomenon in modern communication systems. The conventional way to compensate for this effect is to equalize the channel by estimating its…

cs.IT2009★ 113 cited

Dynamic Updating for L1 Minimization

Muhammad Salman Asif, Justin Romberg

The theory of compressive sensing (CS) suggests that under certain conditions, a sparse signal can be recovered from a small number of linear incoherent measurements. An effective…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.