Classification And Optimization Analysis Method of Digital Filter

Abstract

The significance of digital filters in the field of digital signal processing has been increasingly emphasized due to the swift advancements in science, technology, and computing in recent years. At the same time, the optimization of digital filters has attracted the attention of many researchers. This paper describes in detail the classification and optimization methods of digital filters, and analyzes the advantages and disadvantages of several optimization algorithms. Among them, the parameters of the Genetic Algorithm are relatively complex. How to reduce the difficulty of calculation and ensure the performance of the filter is the direction of current research. Particle Swarm Algorithm works very well in the design process and parameter configuration, but it is still difficult to apply. This is also the direction of future research. Whether from the perspective of scientific research or practical application, the optimization of digital filters has a lot of room for development.