[1]
W. Drahm, Coriolis-Massendurchflussmesser mit einem einzigen geraden Meßrohr, Fortschrittberichte VDI, Meß-, Steuerungs- und Regelungstechnik Nr. 525, Reihe 8 VDI-Verlag, (1995)
Google Scholar
[2]
A. Mehendale, Coriolis Mass Flow Rate Meters for Low Flows, Ph.D Thesis, University of Twente, Enschede, The Netherlands, Print Partners Ipskamp, (2008)
DOI: 10.3990/1.9789036527279
Google Scholar
[3]
M. Zamora and M.P. Henry, An FPGA Implementation of a Digital Coriolis Mass Flow Metering Drive System, Industrial Electronics, IEEE Transactions Volume: 55, Issue: 7, (2008)
DOI: 10.1109/tie.2008.925646
Google Scholar
[4]
V. Kumara and D. Chen, An Overview and Behavioral Modeling of Higher Order Multi-Bit ΣΔ A/D Converters, IEEE International Conference on Electro/Information Technology, (2008)
DOI: 10.1109/eit.2008.4554280
Google Scholar
[5]
A. Dendouga, et al.: Modeling of a Second Order Sigma-Delta Modulator with Imperfections, International Journal on Electrical Engineering and Informatics 3.2, (2011)
Google Scholar
[6]
W.M. Koe and J. Zhang, Understanding the effect of circuit non-idealities on sigma-delta modulator, Behavioral Modeling and Simulation, 2002. BMAS 2002. Proceedings of the 2002 IEEE International Workshop on. IEEE, (2002)
DOI: 10.1109/bmas.2002.1291065
Google Scholar
[7]
P. Yi et al,: Analysis of phase difference tracking methods for signal of coriolis mass flowmeter, Proceedings of the 10th World Congress on Intelligent Control and Automation, Beijing, China, (2012)
DOI: 10.1109/wcica.2012.6359215
Google Scholar
[8]
P.J. Kootsookos, A review of the frequency estimation and tracking problems, (1993)
Google Scholar
[9]
A. Abba, F. Caponio, A. Geraci and G. Ripamonti, Implementation of High Efficiency Non-Linear Least-Squares in FPGA Devices for Digital Spectroscopy, IEEE Nuclear Science Symposium Conference Record (NSS/MIC), (2010)
DOI: 10.1109/nssmic.2010.5873995
Google Scholar
[10]
L.Jianjun, W. Baihai and W. Jinping, Estimating Phase Difference and Lead of Discrete Cosine Ultrasonic Wave Signals Based on Hilbert Transform and Lissajous Figure Features, International Conference on Measuring Technology and Mechatronics Automation (ICMTMA), Changsha City, (2010)
DOI: 10.1109/icmtma.2010.449
Google Scholar
[11]
Y. Tu and H. Zhang, Method for CMF signal processing based on the recursive DTFT algorithm with negative frequency contribution, IEEE Transactions on Instrumentation and Measurement, 57(11), (2008)
DOI: 10.1109/tim.2008.925006
Google Scholar
[12]
P.J. Kootsookos, A Review of the Frequency Estimation and Tracking Problems, (1999)
Google Scholar