Now showing items 1-13 of 13

    • Bandpass sampling of multiband signals by using geometric approach 

      Saatçı, Esra; Saatçı, Ertuğrul; Akan, Aydın (IEEE, 345 E 47th St, New York, Ny 10017 USA, 2017)
      This paper presents a simple and fast approach to f nd a minimum sampling frequency for multi-band signals. Instead of neighbor and boundary conditions, constraints on the sampling frequency were derived by using the ...
    • Correlation analysis of respiratory signals by using parallel coordinate plots 

      Saatçı, Esra (Elsevier Ireland Ltd, Elsevier House, Brookvale Plaza, East Park Shannon, Co, Clare, 00000, Ireland, 2018-01)
      Background and objectives: The understanding of the bonds and the relationships between the respiratory signals, i.e. the airflow, the mouth pressure, the relative temperature and the relative humidity during breathing may ...
    • Determination of theminimum sampling frequency in bandpass sampling by geometric approach and geometric programming 

      Saatçı, Esra; Saatçı, Ertuğrul (Springer, 2018-10)
      This paper presents a simple and fast approach to find a minimum sampling frequency for multi-band signals. Instead of neighbor and boundary conditions, constraints on the sampling frequency were derived by using the ...
    • Dual Kalman Filter based State-Parameter Estimation in Linear Lung Models 

      Akan, Aydın; Saatçı, Esra (Springer, 233 Spring Street, New York, Ny 10013, United States, 2009)
      Time-domain approach to inverse modeling of respiratory system requires estimation of the parameters from the noisy observation. In this work, states and parameters of the linear lung models are estimated simultaneously ...
    • Estimation Of The Respiratory System Parameters 

      Sert, Görkem; Saatçı, Esra; Gürkan, Güray; Akan, Aydın (European Assoc Signal Speech & Image Processing-Eurasip, Po Box 74251, Kessariani, 151 10, Greece, 2011)
      In clinical respiratory studies, resistance and the lung compliance are two important respiratory parameters that are often measured by physicians. In this work, Respiratory signals (mask pressure, airway flow, and lung ...
    • 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 ...
    • Heart sound localization and reduction in tracheal sounds by gabor time-frequency masking 

      Saatçı, Esra; Akan, Aydın (Istanbul Unıv, Fac Engineering, Elektrik-Elektronik Mühendisliği Bölümü, Avcılar Kampüsü, İstanbul, 34320, Turkey, 2017)
      Respiratory sounds, i.e. tracheal and lung sounds, have been of great interest due to their diagnostic values as well as the potential of their use in the estimation of the respiratory dynamics (mainly airflow). Thus the ...
    • Inverse Modeling of Respiratory System during Noninvasive Ventilation by Maximum Likelihood Estimation 

      Saatçı, Esra; Akan, Aydın (Hindawi Publishing Corporation, 410 Park Avenue, 15Th Floor, #287 Pmb, New York, Ny 10022 Usa, 2010)
      We propose a procedure to estimate the model parameters of presented nonlinear Resistance-Capacitance (RC) and the widely used linear Resistance-Inductance-Capacitance (RIC) models of the respiratory system by Maximum ...
    • Lung model parameter estimation by unscented Kalman filter 

      Saatçı, Esra; Akan, Aydın (IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA, 2007)
      Dynamic nonlinear models are the best choice to analyze respiratory systems and to describe system mechanics. In this work, Unscented Kalman Filtering (UKF) was used to estimate the dynamic nonlinear model parameters of ...
    • Lung Sound Noise Reduction Using Gabor Time-Frequency Masking 

      Saatçı, Esra; Akan, Aydın (SPRINGER-VERLAG BERLIN, HEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY, 2007)
      The Gabor expansion is a mathematical tool, which provides a joint time-frequency representation of a given signal by decomposing it into time-frequency elementary signals called Gabor atoms. It has been used in a variety ...
    • Posterior Cramer-Rao Lower Bounds for Dual Kalman estimation 

      Saatçı, Esra; Akan, Aydın (Academic Press inc Elsevier Science, 525 B St, Ste 1900, San Diego, Ca 92101-4495 USA, 2012-01)
      We present the Posterior Cramer-Rao Lower Bounds (PCRLB) for the dual Kalman filter estimation where the parameters are assumed to be time-invariant and stationary random variables. Relations between the PCRLB, the states, ...
    • RESPIRATORY PARAMETER ESTIMATION IN LINEAR LUNG MODELS 

      Saatçı, Esra; Akan, Aydın (IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA, 2008)
      If the respiratory system Is represented as a one compartment model composed of linear electrical elements, the Minimum Variance Unbiased Estimation (MVUE) Is the optimum statistical method to estimate the model parameters. ...
    • Respiratory Parameter Estimation In Non-İnvasive Ventilation Based On Generalized Gaussian Noise Models 

      Saatçı, Esra; Akan, Aydın (Elsevier Science Bv, Po Box 211, 1000 Ae Amsterdam, Netherlands, 2010-02)
      Modeling of respiratory system under non-invasive ventilation by using measured respiratory signals is of great interest in respiratory mechanics research area. Statistical processing techniques in the time-domain may be ...