A fuzzy-logic-based threshold function for signal recovery using discrete wavelet transform

In this paper, a novel threshold function based on fuzzy logic is proposed to achieve good signal recovery performance in the presence of noise using the discrete wavelet transform. The proposed threshold is shown to provide an alternative and flexible approach to solve the problems associated with the conventional hard-threshold approach. Some typical results, obtained from the computer simulations of recovering a transient signal embedded in additive white Gaussian noise in different signal-to-noise ratio settings, are presented to demonstrate the potential and the effectiveness of the proposed threshold function