A data filter is a device, algorithm, or process that removes some unwanted components or features from a data signal. The unwanted component may be random noise (perhaps from mixing turbulence or ...

Editor’s note: In this Design Idea (DI), contributor Bonicatto designs a digital filter system (DFS). This is a benchtop filtering system that can apply various filter types to an incoming signal. The ...

Kalman filtering has long served as a foundational tool for state estimation in dynamic systems, offering a robust and efficient means of filtering noise from measured signals. In the realm of ...

It appears that no particular approximate [nonlinear] filter is consistently better than any other, though . . . any nonlinear filter is better than a strictly linear one. 1 The Kalman filter is a ...

All systems, including filters, are causal. That means they can’t produce a response to an (unpredictable) stimulus before that stimulus arrives. So, how the heck can you build a filter that ‘predicts ...