Research output per year
Research output per year
Project Details
Description
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.
| Status | Finished |
|---|---|
| Effective start/end date | 01/12/2010 → 30/11/2013 |
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Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
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Reducing the Computational Complexity of Reconstruction in Compressed Sensing Nonuniform Sampling
Grigoryan, R., Jensen, T. L., Arildsen, T. & Larsen, T., 2013, In: European Signal Processing Conference (EUSIPCO). 21, 5 p.Research output: Contribution to journal › Conference article in Journal › Research › peer-review
Open AccessFile5 Citations (Scopus)349 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, p. 147-152 6 p.Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review
Open AccessFile4 Citations (Scopus)687 Downloads (Pure)