Research and Improvement of Adaptive Filters in SVCF for Image Noise Cancellation

• Main Authors: Jheng-Hong Wu, 吳政鴻
• Other Authors: Chuen-Yau Chen
• Format: Others
• Language: zh-TW
• Published: 2009
• Online Access: http://ndltd.ncl.edu.tw/handle/99171373001377322078

碩士 === 國立雲林科技大學 === 電機工程系碩士班 === 97 === In this thesis, we propose three mechanisms for improving the convergence rate in TDOBA. They are called MTDOBA-Type I, MTDOBA-Type II, and MTDOBA-Type III. In order to verify the efficiencies of these algorithms, we apply the Gaussian-white noise to be the input signal for the algorithms. Besides, there are four different block sizes applied in the processing. We also propose a new block-scanning scheme for improving the smoothness of the output signal. The simulation results show that the proposed MTDOBA-Type II and MTDOBA-Type III can reduce the Gaussian-white noise steadily. The proposed new block-scanning scheme does improve the signal-to-noise ratio and improve the smoothness of the output signal.