부산대학교 도서관

Stand-alone electronic equipments are important parts of a satellite system, inside which remainders will bring great harm to reliability of the satellite system. Particle shock noise detection (PIND) is an effective method to detect the remainders in stand-alone electronic equipments. Signal to noise ratio (SNR) of detection signal is a bottleneck to improve processing accuracy and robustness of testing software. In this paper, key factors of wavelet threshold de-noising method were investigated and a wavelet threshold algorithm was proposed to improve the SNR of remainder detection signal of the stand-alone electronic equipments. The analytic results proved that the wavelet threshold method efficiently improved the de-noising effect.