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Electrical neural activity detection and tracking have many applications in medical research and brain computer interface technologies. In this thesis, we focus on the development of advanced signal processing algorithms

Electrical neural activity detection and tracking have many applications in medical research and brain computer interface technologies. In this thesis, we focus on the development of advanced signal processing algorithms to track neural activity and on the mapping of these algorithms onto hardware to enable real-time tracking. At the heart of these algorithms is particle filtering (PF), a sequential Monte Carlo technique used to estimate the unknown parameters of dynamic systems.

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    Date Created
    • 2013
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  • Text
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    • Partial requirement for: Ph.D., Arizona State University, 2013
      Note type
      thesis
    • Includes biliographical references (p. 95-103)
      Note type
      bibliography
    • Field of study: Electrical engineering

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    by Lifeng Miao

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