Improvements in signal processing is one of the chief means of providing enhanced flow meter performance, whether by improving measurement accuracy, or by extending the operating range of meters into more difficult applications such as dealing with gas/liquid mixtures.Prism Signal Processing is a new technique, developed within the group, which addresses many of the challenges for instrumentation arising from the Internet of Things and Industry 4.0. The Prism is a recursive finite impulse response (FIR) filter, offering linear phase response and numerical stability. Unlike conventional FIR filters, the computation of the Prism is fully recursive, so that the computational cost is independent of the length of the filter.A further benefit of the Prism is that filter design is very simple, so that new signal processing structures can be created in real time within resource-limited devices as signal properties and/or processing requirements change.A range of signal processing techniques have been developed based on the Prism, such as static and dynamic notch filters, band-pass filters, and trackers, which extract the frequency, phase and/or amplitude of a sinusoidal component within the supplied signal. These tools share the Prism's characteristic rapid calculation and easy design.Please use the official Coventry University website as your main source of information as our courses are subject to change throughout the year.