On the feasibility of the fuzzy system approach to signal processing

碩士 === 國立交通大學 === 控制工程系 === 82 === This thesis investigates the feasibility of fuzzy system approaches to signal processing. Noise cancellation, adaptive equalization, image coding, and image preprocessing are sample problems used to evalua...

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Bibliographic Details
Main Authors: Ming-Huei Peng, 彭明輝
Other Authors: Chi-Cheng Jou
Format: Others
Language:en_US
Published: 1994
Online Access:http://ndltd.ncl.edu.tw/handle/14182924107304576600
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Summary:碩士 === 國立交通大學 === 控制工程系 === 82 === This thesis investigates the feasibility of fuzzy system approaches to signal processing. Noise cancellation, adaptive equalization, image coding, and image preprocessing are sample problems used to evaluate the feasibility. The focus of the present exercise is on justifying the capabilities and effetiveness of fuzzy system approaches, and unifying already existing fuzzy system approaches in the problem of optimality. Experimental results demonstrate that fuzzy system approaches are more expensive than conventional approaches and they may not outperform conventional approaches in all of our studies. We illustrate that fuzzy system approaches are effective for problems that are highly nonlinear and complex.