Analysis of Common Window Function Selection Strategies for FIR Filter Design Using Window Function Methods

Abstract

Digital Signal Processing (DSP) technology, as a crucial discipline in communications and computer processing, has found extensive application across various fields. As a core and fundamental component in the field of digital signal processing technology, the primary function of a filter lies in the effective processing of signals. Based on the characteristics of the unit impulse response over time, filters can be categorized into two main types: finite impulse response (FIR) digital filters and infinite impulse response (IIR) digital filters. This paper first introduces the principles of FIR filters, then explains the window function method for filter design. It subsequently focuses on analyzing the characteristics and advantages/disadvantages of the five commonly used window functions in FIR filter design. By doing so, it identifies the practical applications of each window function and derives selection strategies for choosing the appropriate window function when designing FIR filters under different conditions. This approach better addresses challenges encountered in the practical design of FIR filters. At the same time, this paper looks forward to future optimizations and improvements.