Tesis doctorals> Departament d'Enginyeria Electrònica, Elèctrica i Automàtica

Improving the performance of micro-machined metal oxide gas sensors: Optimization of the temperatura modulation mode via pseudorandom sequences.

  • Identification data

    Identifier: TDX:1907
    Handle: https://hdl.handle.net/20.500.11797/TDX1907
    Authors:
    Vergara Tinoco, Alexander

  • Others:

    Date: 2006-07-25
    Departament/Institute: Departament d'Enginyeria Electrònica, Elèctrica i Automàtica Universitat Rovira i Virgili.
    Language: eng
    Identifier: http://hdl.handle.net/10803/8456 http://www.tdx.cat/TDX-0605107-094207 9788469076033 T.1219-2007
    Source: TDX (Tesis Doctorals en Xarxa)
    Author: Vergara Tinoco, Alexander
    Director: Llobet Valero, Eduard
    Format: application/pdf
    Publisher: Universitat Rovira i Virgili
    Keywords: gas sensor temperature modulation pseudo-random maximum length sequences system identification qualitative and quantitative gas analysis variable selection Micro-hotplate optimization calibration models.
    Title: Improving the performance of micro-machined metal oxide gas sensors: Optimization of the temperatura modulation mode via pseudorandom sequences.
    Subject: 621.3 62 51 311 gas sensor temperature modulation pseudo-random maximum length sequences system identification qualitative and quantitative gas analysis variable selection Micro-hotplate optimization calibration models.

  • Keywords:

    621.3
    62
    51
    311
    gas sensor
    temperature modulation
    pseudo-random maximum length sequences
    system identification
    qualitative and quantitative gas analysis
    variable selection
    Micro-hotplate
    optimization
    calibration models.

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