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.

  • Datos identificativos

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

  • Otros:

    Fecha: 2006-07-25
    Departamento/Instituto: Departament d'Enginyeria Electrònica, Elèctrica i Automàtica Universitat Rovira i Virgili.
    Idioma: eng
    Identificador: http://hdl.handle.net/10803/8456 http://www.tdx.cat/TDX-0605107-094207 9788469076033 T.1219-2007
    Fuente: TDX (Tesis Doctorals en Xarxa)
    Autor: Vergara Tinoco, Alexander
    Director: Llobet Valero, Eduard
    Formato: application/pdf
    Editor: Universitat Rovira i Virgili
    Palabra clave: gas sensor temperature modulation pseudo-random maximum length sequences system identification qualitative and quantitative gas analysis variable selection Micro-hotplate optimization calibration models.
    Título: Improving the performance of micro-machined metal oxide gas sensors: Optimization of the temperatura modulation mode via pseudorandom sequences.
    Materia: 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.

  • Palabras clave:

    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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