Toplam kayıt 5, listelenen: 1-5

    • 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 ...
    • 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 ...
    • 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, ...