Case Teaching of MATLAB Implementation of FIR Filter with an Overview of Filter Analogies

Abstract

FIR Filters have been a key component of digital signal processing's work for a very long time. These filters have expanded in significance in terms of the signal processing with the introduction of newer technology. Although numerous models of the FIR Filter have been built by researchers using a variety of techniques, some potential problems that should be focused on during these implementations are only addressed. Therefore, the work here ensures that a number of those problems are addressed during the implementation over MATLAB and that solutions are provided in order to greatly increase the effectiveness of the implementation. The misconceptions about magnitude and input/output responses, the idea of group delay, and difficulties with direct convolutional implementation are some examples. Additionally, several analogies are given to explain the FIR Filter in terms of its mathematical models and also the use of the weighted average filter is illuminated.