PhD project: Compressive Sensing in Signal Analyzer



The main purpose of this PhD project is to advance the compressed sensing theory and calculation process to a level where it will be possible to utilize essential benefits of compressed sensing in real-life applications in particular in signals analyzers. Hardware imperfections, noise and limited calculation resources can significantly degrade signal acquisition and reconstruction within compressed sensing framework. Methods that can deal with above mentioned problems must be developed prior any practical implementations. Currently project is focuses on blind sampling of multiband signals.
Effektiv start/slut dato01/12/201030/11/2013


  • 1 Konferenceartikel i proceeding
  • 1 Konferenceartikel i tidsskrift

Reducing the Computational Complexity of Reconstruction in Compressed Sensing Nonuniform Sampling

Grigoryan, R., Jensen, T. L., Arildsen, T. & Larsen, T., 2013, I : European Signal Processing Conference (EUSIPCO). 21, 5 s.

Publikation: Bidrag til tidsskriftKonferenceartikel i tidsskriftForskningpeer review

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  • 4 Citationer (Scopus)
    261 Downloads (Pure)

    Performance Comparison of Reconstruction Algorithms in Discrete Blind Multi-Coset Sampling

    Grigoryan, R., Arildsen, T., Tandur, D. & Larsen, T., 2012, Proceedings of the 12th IEEE International Symposium on Signal Processing and Information Technology. IEEE Press, s. 147-152 6 s.

    Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

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  • 3 Citationer (Scopus)
    525 Downloads (Pure)