  This paper presents a new signal processing method based on Complex Bandpass
Filtering (CBF) applied to the Coriolis Mass Flowmeter (CMF). CBF can be
utilized to suppress the negative frequency component of each sensor signal to
produce the corresponding analytic form with reduced tracking delay. Further
processing of the analytic form yields the amplitude, frequency, phase and
phase difference of the sensor signals. In comparison with previously published
methods, CBF offers short delay, high noise suppression, high accuracy and low
computational cost. A reduced delay is useful in CMF signal processing
especially for maintaining flowtube oscillation in two/multi-phase flow
conditions. The central frequency and the frequency range of the CBF method are
selectable so that they can be customized for different flowtube designs.
