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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Szczecinski, L. Morawski, R. Barwicz, A. |
| Copyright Year | 1994 |
| Description | Author affiliation: Dept. d'Ingenierie, Quebec Univ., Trois-Rivieres, Que., Canada (Szczecinski, L.) |
| Abstract | The reconstruction of a measurand on the basis of measurement data which are subject to systematic distortions and random errors is a problem often met in instrumental applications. Different regularization techniques are used to deal with its ill-conditioning. In this paper the applicability of variational methods based on entropy-like criteria is studied. The quality of reconstruction is assessed using synthetic measurement data as well as real-world spectrophotometric data. Two proposed algorithms are compared with other methods frequently used for measurand reconstruction. |
| Starting Page | 361 |
| Ending Page | 363 |
| File Size | 252399 |
| Page Count | 3 |
| File Format | |
| ISBN | 0780318803 |
| DOI | 10.1109/IMTC.1994.352048 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1994-05-10 |
| Publisher Place | Japan |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Image reconstruction Q measurement Distortion measurement Entropy Constraint optimization Error correction Instruments Calibration Probability distribution Seismic measurements |
| Content Type | Text |
| Resource Type | Article |
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