Now showing items 1-2 of 2

    • Bayesian Compressive Sensing for Ultra-Wideband Channel Models 

      Özgör, Mehmet; Erküçük, Serhat; Çırpan, Hakan Ali (Ieee, 345 E 47Th St, New York, Ny 10017 Usa, 2012-07-03)
      Considering the sparse structure of ultra-wideband (UWB) channels, compressive sensing (CS) is suitable for UWB channel estimation. Among various implementations of CS, the inclusion of Bayesian framework has shown potential ...
    • Generalized Gauss Distribution Noise Model for Respiratory Parameter Estimation 

      Saatçı, Esra; Akan, Aydın (Ieee, 345 E 47Th St, New York, Ny 10017 Usa, 2009)
      In this studs, measurement noise is modelled as a Generalized Gauss Distribution and a new method is presented to estimate the model parameters. The estimator algorithm consists of the Kurtosis method, Kalman iterarions ...