Design of FIR Digital Filters

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Resource Overview

The design methods for FIR digital filters are primarily based on approximating the frequency characteristics of ideal filters. These approximation approaches include the window function method, frequency sampling method, and optimal equiripple approximation method. This discussion focuses exclusively on the window function method, which has been implemented in our program through appropriate algorithm selection and parameter configuration.

Detailed Documentation

In this paper, we examine the design methodologies for FIR digital filters. These design approaches are established on the foundation of approximating the frequency characteristics of ideal filters. To achieve such approximations, commonly employed techniques include the window function method, frequency sampling method, and optimal equiripple approximation method. Our focus here centers on the window function method implementation, which involves selecting appropriate window types (such as Hamming, Hanning, or Kaiser windows) and determining filter parameters through mathematical computations. In our program implementation, we have adopted this method, utilizing specific algorithms for coefficient calculation and incorporating boundary condition handling to ensure optimal filter performance.

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