An evaluation strategy for audio frequency equalizer performance based on support vector regression
Abstract：Focusing on experimental samples lack,the new evaluation strategy of audio frequency equalizer performance based on support vector machine was presented.Considering the BPF that applied to audio frequency equalizer as experiment object,three things are done： obtaining the BPF datasets of the amplitude frequency by amplitude frequency characteristics detecting equipment to get samples,then using support vector regression to get the appoximating function of the amplifier amplitude frequency characteristics of the BPF,and using the function to detect the four performance parameters.The simulation results show that the perfect nonlinear mapping ability ensures zero training error and leads to the global optimal model parameters,and it is suitable for evaluation of the electronic production performance that tested by oscillograph.
Keywords：support vector regressionperformance of audio frequency equalizer evaluationband pass filteamplifier amplitude frequency characteristics
Publication Date：2011-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：6( 334-339 )