20072023

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  • 2022

    Proof Methods for Robust Low-Rank Matrix Recovery

    Fuchs, T., Gross, D., Jung, P., Krahmer, F., Kueng, R. & Stöger, D., 2022, Applied and Numerical Harmonic Analysis. Birkhauser, p. 37-75 39 p. (Applied and Numerical Harmonic Analysis).

    Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

    Open Access
  • 2017

    Total variation minimization in compressed sensing

    Krahmer, F., Kruschel, C. & Sandbichler, M., 2017, Applied and Numerical Harmonic Analysis. 9783319698014 ed. Springer International Publishing, p. 333-358 26 p. (Applied and Numerical Harmonic Analysis; no. 9783319698014).

    Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

    Open Access
    17 Scopus citations
  • 2015

    Noise-shaping quantization methods for frame-based and compressive sampling systems

    Chou, E., Güntürk, C. S., Krahmer, F., Saab, R. & Yılmaz, Ö., 2015, Applied and Numerical Harmonic Analysis. 9783319197487 ed. Springer International Publishing, p. 157-184 28 p. (Applied and Numerical Harmonic Analysis; no. 9783319197487).

    Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

    Open Access
    15 Scopus citations
  • Quantization and compressive sensing

    Boufounos, P. T., Jacques, L., Krahmer, F. & Saab, R., 2015, Applied and Numerical Harmonic Analysis. 9783319160412 ed. Springer International Publishing, p. 193-237 45 p. (Applied and Numerical Harmonic Analysis; no. 9783319160412).

    Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

    Open Access
    49 Scopus citations