Wavelets Based Robust Adaptive Filtering with Application to Impulse Noise Rejection

• Main Authors: Row, loyal, 羅得昌
• Other Authors: Jung-Jae Chao
• Format: Others
• Language: zh-TW
• Published: 1996
• Online Access: http://ndltd.ncl.edu.tw/handle/22036386300175000848

碩士 === 國立海洋大學 === 航運技術研究所 === 84 === Impusle noise interferes with signals in an unpredictable occurrence. The performance of an adaptive signal processor is limited in the environment of impulse noise. The robust normalized least-mean-square (RNLMS) approach utilizes the techniques of nonlinear element and LMS adaptive processor to remove the interference. Due to its poor performance in low frequency band, it gets worse in the case of wide band signals. In this thesis, we employ the wavelet transform to subdivide the signals into high and low frequency bands. The RNLMS and the median filter are applied to the high and low bands, respectively. Then we reconstruct the filtered signal. As a result, it shows the proposed approach outperforms the RNLMS by computer simulation.