Research and Improvement of Adaptive Filters in SVCF for Image Noise Cancellation
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...
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| Format: | Others |
| Language: | zh-TW |
| Published: |
2009
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| Online Access: | http://ndltd.ncl.edu.tw/handle/99171373001377322078 |
| Summary: | 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.
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