Signal-shape analysis of a thermally cycled tin-oxide gas sensor

Włodek, S.; Colbow, Konrad; Consadori, F.

doi:10.1016/0925-4005(91)85008-7

Cited by 92 publications

(34 citation statements)

References 5 publications

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“…Wlodek et al [90] also used the temperature modulation of a commercial sensor to obtain additional information. The sensor was heated periodically.…”

Section: Parametric or Model-based Approachesmentioning

confidence: 99%

Pattern Recognition and Multicomponent Analysis

et al. 1996

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“…Wlodek et al [90] also used the temperature modulation of a commercial sensor to obtain additional information. The sensor was heated periodically.…”

Section: Parametric or Model-based Approachesmentioning

confidence: 99%

Pattern Recognition and Multicomponent Analysis

et al. 1996

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“…Perez-Lisboa et al [12] Sensors and Actuators B 93 (2003) [57][58][59][60][61][62][63][64][65][66] have used the dc and ac RMS values from the sensor response to a periodic excitation signal. Wlodek et al [13] have used a ramp as a heater excitation signal. The response of the sensor is modeled with a family of Gaussian curves and the parameters of the curves are used as features.…”

Section: Introductionmentioning

confidence: 99%

Transient response analysis for temperature-modulated chemoresistors

Gutierrez‐Osuna

Gutiérrez-Gálvez

Powar

2003

Sensors and Actuators B: Chemical

100

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“…Fast Fourier transform and wavelet transform are useful in feature selection before calibration in stripping voltammetry [20][21][22]. Also, such methods as principal component analysis [23,24], genetic algorithms [25] and neural networks [26,27] are often applied.…”

Section: The Development Of Signal Processing Algorithms For Electrocmentioning

confidence: 99%

Signal Processing in Electrochemistry

Jakubowska

2011

Electroanalysis

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This review presents and promotes preprocessing methods applied in electrochemistry prior to data exploration, calibration and classification. Smoothing by digital filtering, baseline correction, separation of overlapping signals, and also transformations to extract the relevant features of the curve are the algorithms of which the application, operation, and optimization of parameters are described. The presentation completes the description of the procedure enabling orthogonal correction of the signals. The theoretical consideration is demonstrated by examples of the practical application of the described algorithms in electrochemistry in recent years. Software packages useful in signal processing in electrochemistry are also listed. The paper underlines the point that particular methods show the different effects of signal processing and in the case of the improper selection of the algorithm or its parameters, undesirable distortions of the curves may be observed. Therefore a knowledge of signal processing methodology is necessary before its application.

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Signal-shape analysis of a thermally cycled tin-oxide gas sensor

Cited by 92 publications

References 5 publications

Pattern Recognition and Multicomponent Analysis

Pattern Recognition and Multicomponent Analysis

Transient response analysis for temperature-modulated chemoresistors

Signal Processing in Electrochemistry

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