Dynamic calibration of QMB polymer-coated sensors by Wiener kernel estimation

Sensors and Actuators: B. Chemical

Volumn 27, Issue 1-3, 1995, Pages 275-285

  Davide, Fabrizio A M ^a   Natale, Corrado Di ^a   D'Amico, Arnaldo ^a   Hierlemann, Andreas ^b   Mitrovics, Jan ^b   Schweizer, Markus ^b   Weimar, Udo ^b   Göpel, Wolfgang ^b   Marco, Santiago ^c   Pardo, Antonio ^c  

^a UNIVERSITY OF ROME TOR VERGATA   (Italy)

^b UNIVERSITY OF TÜBINGEN   (Germany)

^c UNIVERSITY OF BARCELONA   (Spain)

Author keywords

Calibration; Dynamic modelling; Polymer sensors; Quartz microbalance sensors

Indexed keywords

CALIBRATION; COMPUTER SIMULATION; CORRELATION METHODS; ESTIMATION; MATHEMATICAL MODELS; MEASUREMENTS; POLYMERS; WHITE NOISE;

CROSS CORRELATION METHOD; DYNAMIC MODELLING; POLYMER SENSORS; QUARTZ MICROBALANCE SENSORS; WHITE NOISE ANALYSIS; WIENER KERNEL ESTIMATION;

CHEMICAL SENSORS;

EID: 0029322554     PISSN: 09254005     EISSN: None     Source Type: Journal    
DOI: 10.1016/0925-4005(94)01601-D     Document Type: Article

References (38)

1. Sur les functionelles continues
2. Measurement of the Wiener kernels of a nonlinear system by cross-correlation
3. Structure identification of QMB polymer coated sensors
4. Verwendung von Schwingquarzen zur W�gung d�nner Schichten und zur Mikrow�gung
5. Chemical sensors based upon polysiloxanes: comparison between optical, quartz microbalance, calorimetric, and capacitance sensors
6. Solubility interactions and the design of chemically selective sorbent coatings for chemical sensors and arrays
7. Modified polymers for reliable detection of organic solvents thermodynamically controlled selectivities and sensitivities
8. Structural classification of nonlinear systems by input and output measurements
9. Identification of systems containing linear dynamic and static nonlinear elements
10. Identification of nonlinear systems using correlation analysis and pseudorandom inputs
11. Dissection of a nonlinear cascade model for sensory encoding
12. Problems relative to identification of nonlinear systems with cascade structure
13. The identification of nonlinear models in neurophysiological system analysis
14. Analysis of estimation errors in the identification of nonlinear systems
15. Parallel cascade identification and kernel estimation for nonlinear systems
16. Generation of random sequences with jointly specified probability density and autocorrelations functions
17. Practical nonlinear system analysis by Wiener kernel estimation in the frequency domain
18. Interpretation of functional series expansions
19. The interpretation of kernels — An overview
20. The interpretation of kernels — An overview
21. On the interpretation of kernels — Computer simulation of responses to impulse pairs
22. The identification of nonlinear biological systems: NLN cascade models
23. The identification of nonlinear biological systems: Wiener and Hammerstein cascade models
24. Structural classification of multi-input nonlinear systems
25. Analysis and identification of systems with a nonlinear element
26. Statistical identification of parallel cascades of linear and nonlinear systems
27. Wiener analysis of nonlinear feedback in sensory systems
28. Asymmptotic approach of generalized orthogonal functional expansions to Wiener kernels