DocumentCode :
1619466
Title :
Predictive signal processing in instrumentation and measurement: A tutorial review
Author :
Ovaska, Seppo J.
Author_Institution :
Inst. of Intelligent Power Electron., Helsinki Univ. of Technol., Espoo, Finland
Volume :
1
fYear :
1997
Firstpage :
48
Abstract :
Additional phase delay or lag is a remarkable but unavoidable drawback of conventional signal processing methods. This delay is particularly harmful when the filtered primary signal is to be used for time-critical feedback, synchronization, monitoring, or alarming purposes. Predictive processing of real-time signals offers indisputable advantages for these applications. In this tutorial, we give a review of different Predictive Signal Processing (PSP) algorithms and methods, as well as successful instrumentation and measurement applications. Also, the main trends of the future PSP research and development are discussed
Keywords :
neural nets; prediction theory; signal processing equipment; signal reconstruction; statistical analysis; time-domain analysis; alarming; filtered primary signal; instrumentation; measurement; monitoring; neural networks; phase delay; predictive signal processing; real-time signals; signal processing; statistical methods; synchronization; time domain signal models; time-critical feedback; velocity signal restoration; Additive noise; Image restoration; Instrumentation and measurement; Instruments; Neural networks; Prediction methods; Signal processing; Signal processing algorithms; Signal to noise ratio; Tutorial;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Instrumentation and Measurement Technology Conference, 1997. IMTC/97. Proceedings. Sensing, Processing, Networking., IEEE
Conference_Location :
Ottawa, Ont.
ISSN :
1091-5281
Print_ISBN :
0-7803-3747-6
Type :
conf
DOI :
10.1109/IMTC.1997.603915
Filename :
603915
Link To Document :
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