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Sökning: WFRF:(Van Moer K)

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  • Olarte, O., et al. (författare)
  • Glucose characterization based on electrochemical impedance spectroscopy
  • 2014
  • Ingår i: IEEE Instrumentation and Measurement Technology Conference. - 9781467363853 ; , s. 833-837
  • Konferensbidrag (refereegranskat)abstract
    • In this paper an equivalent circuit model is employed in the characterization of the impedance measurements of saline solutions at physiological glucose concentrations. The impedance data are obtained using a three electrodes cell configuration since it allows measuring the potential accurately in the working electrode independently from the counter electrode. As excitation signal an odd random phase multisine is employed which allows identifying the best linear approximation, the noise level and the non-linear distortions present in the system. The results show a significant change in the impedance as a function of the glucose at the interphase electrode-electrolyte as well as in the bulk solution. This is an important step towards the development of glucose measurement systems based in electrochemical impedance spectroscopy (EIS). 
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  • Gonzales-Fuentes, L., et al. (författare)
  • Adaptive noise tracking for Cognitive Radios under more realistic operation conditions
  • 2014
  • Ingår i: IEEE Instrumentation and Measurement Technology Conference. - 9781467363853 ; , s. 1339-1344
  • Konferensbidrag (refereegranskat)abstract
    • Normal operation conditions of cognitive radio applications require signal processing techniques that can be executed in real time. One of the first steps is to sense the occupied or free frequency channels. Two major drawbacks in the current techniques are that they assume (i) the noise as white and (ii) the measured spectrum as time-invariant. In real world, the noise is (i) colored so it disturbs the signal unevenly and (ii) its spectrum changes over time. Hence, tracking the time-varying noise spectrum can become crucial to remove the noise contributions and enhance the estimate of the received signal. In this paper, we study an auto-regressive model to develop an adaptive noise tracking technique using a Kalman filter such that an extension of Boll's noise subtraction technique, designed for audio noise cancellation, becomes feasible when adjusted to cognitive radio scenarios. Simulation results show the performance of this technique. 
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  • Resultat 1-6 av 6

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