Wavelet network approximation and coefficient learning of linear-time-varying system

시변 선형 시스템의 웨이브렛망 근사화와 가중치의 학습

This paper discusses approximation modelling of discrete-time linear time-varying system(LTVS). The wavelet transform is considered as a tool for representing and approximating a LTVS. The joint time-frequency properties of wave analysis are appropriate for describing the LTVS. Simulation results is included to illustrate the potential application of the technique.