Dissertation

Turbo and Message Passing Approaches for Iterative Signal Recovery in Compressed Sensing (Oparu)

Book Chapter

Robert F.H. Fischer, Carmen Sippel
Unbiasing in Iterative Reconstruction Algorithms for Discrete Compressed Sensing (Chapter 6)
In: Compressed Sensing in Information Processing (Birkhäuser)

Conferences

  • Carmen Sippel, Robert F.H. Fischer
    Evaluation of the Fractional Approach for Iterative Algorithms in Compressed Sensing (IEEE)
     
  • Elena Sterk, Carmen Sippel, Robert F.H. Fischer
    Comparison of Damping Approaches for AMP (IEEE)

  • Carmen Sippel, Robert F.H. Fischer
    Comparison of Parallel and Sequential Algorithms for Compressed Sensing (IEEE)

  • Carmen Sippel, Robert F.H. Fischer
    Variants of VAMP for Signal Recovery in Wireless Sensor Networks (IEEE)

  • Carmen Sippel, Robert F.H. Fischer
    VAMP with Individual Variances and Sequential Processing for Compressed Sensing (IEEE)

  • Robert F.H. Fischer, Carmen Sippel, Norbert Görtz
    VAMP with Vector-Valued Diagonalization (IEEE)
     
  • Carmen Sippel, Robert F.H. Fischer
    On the Invariance of Recovery Algorithms for Compressed Sensing based on Expectation-Consistent Approximate Inference (IEEE)
     
  • Carmen Sippel, Cornelia Ott, Sven Puchinger, Martin Bossert
    Reed-Solomon Codes over Fields of Characteristic Zero (arXiv)

Theses

  • Differential Linear Network Coding in Slowly-Varying Networks (pdf, with minor corrections)
    Master Thesis, Ulm University, June 2018

  • Biomimetische Ansätze zur Vermeidung von Interferenz bei Kfz-Radarsensoren (pdf)
    Bachelor Thesis, Ulm University, December 2015