Filtering: An Introduction T... - Digital And Kalman

It covers the two primary classes of digital filters: Finite Impulse Response (FIR) filters, which are always stable and can have linear phase, and Infinite Impulse Response (IIR) filters, which are more computationally efficient but involve feedback loops.

The second half addresses the challenge of extracting a "true" signal from data corrupted by noise—a central problem in communications, radar, and control systems. Digital and Kalman Filtering: An Introduction t...

The mathematical framework for analyzing these systems, using difference equations to represent how the current output depends on present and past inputs (and past outputs for IIR systems). It covers the two primary classes of digital