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  • Autoregressive moving average modelling  (1)
  • CMOS  (1)
  • 1
    ISSN: 1573-1979
    Schlagwort(e): transceiver ; CMOS ; front-end ; wireless ; RF
    Quelle: Springer Online Journal Archives 1860-2000
    Thema: Elektrotechnik, Elektronik, Nachrichtentechnik
    Notizen: Abstract This work describes the design and realization of a low voltage single-chip wireless transceiver front-end in a standard 0.25 μm CMOS technology. The presented prototype integrates the LNA, down-converters, VCO, quadrature generator, up-converter and pre-amplifier on a single die. A high level of integration is achieved by using a low-IF topology for reception, a direct quadrature up-conversion topology for transmission and an oscillator with on-chip integrated inductor. The final objective of this design is to develop a complete transceiver system for wireless communications at 1.8 GHz that can be built with a minimum of surrounding components: only an antenna, a duplexer, a power amplifier and a baseband signal processing chip. The presented circuit consumes 240 mW from a 2.5 V supply and occupies a die area of 8.6 mm2.
    Materialart: Digitale Medien
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
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  • 2
    Digitale Medien
    Digitale Medien
    Springer
    Medical & biological engineering & computing 28 (1990), S. 531-536 
    ISSN: 1741-0444
    Schlagwort(e): Autoregressive moving average modelling ; Electrogastrography ; Gastric motility ; Gastric slow wave ; Spectral analysis
    Quelle: Springer Online Journal Archives 1860-2000
    Thema: Biologie , Chemie und Pharmazie , Medizin
    Notizen: Abstract The recording of the human, gastric myoelectrical activity, by means of cutaneous electrodes is called electrogastrography (EGG). It provides a noninvasive method of studying electrogastric behaviour. The normal frequency of the gastric signal is about 0·05 Hz. However, sudden changes of its frequency have been observed and are generally considered to be related to gastric motility disorders. Thus, spectral analysis, especially online spectral analysis, can serve as a valuable tool for practical purposes. The paper presents a new method of the adaptive spectral analysis of cutaneous electrogastric signals using autoregressive moving average (ARMA) modelling. It is based on an adaptive ARMA filter and provides both time and frequency information of the signal. Its performance is investigated in comparison with the conventional FFT-based periodogram method. Its properties in tracking time-varying instantaneous frequencies are shown. Its applications to the running spectral analysis of cutaneous electrogastric signals are presented. The proposed adaptive ARMA spectral analysis method is easy to implement and is efficient in computations. The results presented in the paper show that this new method provides a better performance and is very useful for the online monitoring of cutaneous electrogastric signals.
    Materialart: Digitale Medien
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
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