×

Experiment automation using digital signal processing methods. (English. Russian original) Zbl 1218.93068

Autom. Remote Control 71, No. 10, 2224-2231 (2010); translation from Avtom. Prom. 2009, No. 6, 49-52 (2009).
Summary: Theoretical methods and algorithms of digital signal processing, as well as certain approaches to the practical implementation of the experiments in industrial and laboratory measurements and tests are considered, based on utilization of ZETLab hardware-software complex. An example of real-time evaluating the spatial coordinates for the source of low-intensity vibration (noise disturbance) is provided. The concept of virtual device serves as the foundation in planning and implementing the experiment; note that the actual hardware components, i.e., seismometers and analog-to-digital converters, are involved in the process, having PC interface as a certain link among the measurement object, mathematical framework and operator. The suggested method of coordinate evaluation operates according to the logic based on spectrum and correlation analysis of the signals, with subsequent data visualization via reciprocal projection technique.

MSC:

93C95 Application models in control theory
94A12 Signal theory (characterization, reconstruction, filtering, etc.)
93E03 Stochastic systems in control theory (general)
Full Text: DOI

References:

[1] Gribunin, V.G., Glossarii po tsifrovoi obrabotke signalov (Signal Digital Processing Glossary), St. Petersburg: AVTEKS.
[2] Sergienko, A.B., Tsifrovaya obrabotka signalov (Digital Signal Processing), St. Petersburg: Piter, 2003.
[3] Widraw, B. and Stearns, S.D., Adaptive Signal Processing, Englewood Cliffs: Prentice-Hall, 1985. Translated under the title Adaptivnaya obrabotka signalov, Moscow: Radio i Svyaz’, 1989.
[4] ru.wikipedia.org/wiki/.
This reference list is based on information provided by the publisher or from digital mathematics libraries. Its items are heuristically matched to zbMATH identifiers and may contain data conversion errors. In some cases that data have been complemented/enhanced by data from zbMATH Open. This attempts to reflect the references listed in the original paper as accurately as possible without claiming completeness or a perfect matching.