Title :
A fuzzy-logic-based threshold function for signal recovery using discrete wavelet transform
Author :
Mei, WenBo ; Shark, Lik-Kwan
Author_Institution :
Dept. of Electron. Eng., Beijing Inst. of Technol., China
Abstract :
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
Keywords :
Gaussian noise; fuzzy logic; signal reconstruction; threshold logic; transforms; transient analysis; wavelet transforms; white noise; additive white Gaussian noise; discrete wavelet transform; fuzzy-logic-based threshold function; performance; signal recovery; signal-to-noise ratio; transient signal; Additive white noise; Computer simulation; Convolution; Digital filters; Discrete wavelet transforms; Filter bank; Fuzzy logic; Noise reduction; Signal resolution; Wavelet coefficients;
Conference_Titel :
Signal Processing, 1996., 3rd International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-2912-0
DOI :
10.1109/ICSIGP.1996.567167
