DocumentCode
2322054
Title
Vortex information retrieval system base on relaxing notch periodogram
Author
Sun, Hong-Jun ; Zhang, Tao ; Duan, Rui-Feng
Author_Institution
Coll. of Electr. Eng. & Autom., Tianjin Univ., China
Volume
1
fYear
2005
fDate
18-21 Aug. 2005
Firstpage
13
Abstract
This paper describes the relaxing notch periodogram (RNP) method, basing on the characters of vortex signal and research findings of maximum likelihood (ML) estimate. This method possesses high frequency resolution, computational efficiency and noise immunity. Moreover, the results of simulation and experiment prove that RNP method is effective on improving flow meter accuracy, extending measuring range and strengthening anti-interference. While a low power signal processing system of vortex flowmeter is presented which is based on double-cores composed of digital signal processor (DSP) and microcontroller (MSP430). It is verified by the experiment that this system has the feature of high anti-interference, extended measuring range, low power, and real time data processing.
Keywords
digital signal processing chips; flowmeters; maximum likelihood estimation; microcontrollers; vortices; digital signal processor; maximum likelihood estimation; microcontroller; noise immunity; power signal processing system; real time data processing; relaxing notch periodogram; vortex flowmeter; vortex information retrieval; vortex signal; Computational efficiency; Computational modeling; Digital signal processing; Digital signal processors; Fluid flow measurement; Frequency; Information retrieval; Maximum likelihood estimation; Microcontrollers; Signal resolution; Digital Signal Processor; Double-core; Relaxing Notch Periodogram; Vortex Flowmeter;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics, 2005. Proceedings of 2005 International Conference on
Conference_Location
Guangzhou, China
Print_ISBN
0-7803-9091-1
Type
conf
DOI
10.1109/ICMLC.2005.1526912
Filename
1526912
Link To Document