Title page for etd-0813108-162917


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URN etd-0813108-162917
Author Chih-hao Tai
Author's Email Address No Public.
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Department Communications Engineering
Year 2007
Semester 2
Degree Master
Type of Document
Language zh-TW.Big5 Chinese
Title On the sampling design of high-dimensional signal in distributed detection through dimensionality reduction
Date of Defense 2008-07-31
Page Count 54
Keyword
  • Sampling design
  • distributed detection
  • dimensionality reduction
  • cluster-based wireless sensor networks
  • Abstract This work considers the sampling design for detection problems.Firstly,we focus on studying the effect of signal shape on sampling design for Gaussian detection problem.We then investigate the sampling design for distributed detection problems and compare the performance with the single sensor context. We also propose a sampling design scheme for the cluster-based wireless sensor networks.The cluster head employs a linear combination fusion to reduce the dimension of the sampled observation.Mathematical verification and simulation result show that the performance loss caused by the dimensionality reduction is exceedingly small as compared with the benchmark scheme,which is the sampling scheme without dimensionality reduction.In particular,there is no performance loss when the identical sampling points are employed at all sensor nodes.
    Advisory Committee
  • Chao-tang Yu - chair
  • Chih-peng Li - co-chair
  • Tsang-yi Wang - advisor
  • Files
  • etd-0813108-162917.pdf
  • indicate in-campus access in a year and off_campus not accessible
    Date of Submission 2008-08-13

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