Title page for etd-0801103-125450


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URN etd-0801103-125450
Author Xiang-Ren Zheng
Author's Email Address m9038614@student.nsysu.edu.tw
Statistics This thesis had been viewed 5364 times. Download 3288 times.
Department Mechanical and Electro-Mechanical Engineering
Year 2002
Semester 2
Degree Master
Type of Document
Language zh-TW.Big5 Chinese
Title Removing Noise from Signals via Neural Networks
Date of Defense 2003-06-27
Page Count 73
Keyword
  • cross-validation
  • noise removal
  • neural networks
  • signal processing
  • Abstract   The main objective of this paper is to develop a method of removing noise from signal. This method is based on the radial-basis function networks and the principle of cross-validation in statistics. In this method, we detect noise by estimating the magnitude of validation error after training the network. Besides, this paper applies the concept of predictive coding to select data set from image when the proposed method used to deal with the noise removal problem of two-dimensional image signals. Finally, the proposed method has been employed to deal with noise removal problems of one-dimensional and two-dimensional signals. From the result of simulation, the proposed method could remove noise from signals effectively.
    Advisory Committee
  • Yih-Tun Tseng - chair
  • Inn-chyn Her - co-chair
  • Chen-Wen Yen - advisor
  • Files
  • etd-0801103-125450.pdf
  • indicate access worldwide
    Date of Submission 2003-08-01

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