Now showing items 1-6 of 6

    • ADVANCED SIGNAL PROCESSING TECHNIQUES APPLIED TO CROSS-TALK REDUCTION IN FOREARM S-EMG 

      Garcia, Gonzalo A.; Keller, Thierry (2008)
      In spite of the great advances in the mechanical and electronic components of prosthetic hands, they still lack the high number of degrees of freedom present in the real human hand. That is due, not to technical ...
    • Bayesian and Information-Theoretic Learning of High Dimensional Data 

      Chen, Minhua (2012)
      The concept of sparseness is harnessed to learn a low dimensional representation of high dimensional data. This sparseness assumption is exploited in multiple ways. In the Bayesian Elastic Net, a small number of correlated ...
    • Compressive Sensing in Transmission Electron Microscopy 

      Stevens, Andrew (2018)
      Electron microscopy is one of the most powerful tools available in observational science. Magnifications of 10,000,000x have been achieved with picometer precision. At this high level of magnification, individual atoms are ...
    • Detection and Classification of Whale Acoustic Signals 

      Xian, Yin (2016)
      This dissertation focuses on two vital challenges in relation to whale acoustic signals: detection and classification.In detection, we evaluated the influence of the uncertain ocean environment on the spectrogram-based detector, ...
    • High Resolution Continuous Active Sonar 

      Soli, Jonathan Boyd (2017)
      This dissertation presents waveform design and signal processing methods for continuous active sonar (CAS). The work presented focuses on methods for achieving high range, Doppler, and angular resolution, while maintaining ...
    • Learning from Geometry 

      Huang, Jiaji (2016)
      Subspaces and manifolds are two powerful models for high dimensional signals. Subspaces model linear correlation and are a good fit to signals generated by physical systems, such as frontal images of human faces and multiple ...