Now showing items 1-3 of 3

    • Compressive Spectrum Sensing for Cognitive Radio Networks 

      Nakarmi, Ukash (Oklahoma State University, 2011-12-01)
      Spectrum sensing is the most important part in cognitive radios. Wideband spectrum sensing requires high speed and large data samples. It makes sampling process challenging and expensive. In this thesis, we propose wideband ...
    • Identification of physical processes via data driven methods 

      Vaddireddy, Harsha Vardhan Reddy (2020-05)
      Extracting governing equations from data can be viewed as reverse engineering of Nature- using data to identify the physical laws/models. This approach is crucial for fields where data is abundant ( such as geophysical ...
    • Unequal Compressive Imaging 

      Mekisso, Betelhem Mateos (Oklahoma State University, 2011-07-01)
      Recently, novel compressive sensing (CS) techniques have been employed to concurrently perform compression and image sampling. Since an image has sparse representation in some proper transform basis, such as discrete cosine ...