• DocumentCode
    313553
  • Title

    Ultrashort laser pulse characterization by neural network

  • Author

    Searcy, Martin ; Cooley, Donald ; Trebino, Rick ; Krumbügel, Marco

  • Author_Institution
    Hewlett-Packard Co., Boulder, CO, USA
  • Volume
    1
  • fYear
    1997
  • fDate
    9-12 Jun 1997
  • Firstpage
    26
  • Abstract
    The characterization of a pulse was performed by determining, using a neural network, the parameters of a function used to represent the pulse. The input to the system was a frequency resolved optical gating (FROG) trace from which features were extracted. These features formed the input to a neural network whose output was the parameters of a function which characterized the laser pulse. While such a characterization may not be an exact representation, for many real time applications sufficient accuracy is attainable. In this work, a four parameter expression was used to characterize the pulse
  • Keywords
    backpropagation; feature extraction; frequency-domain analysis; high-speed optical techniques; laser variables measurement; neural nets; wavelet transforms; FROG trace; frequency resolved optical gating trace; neural network; ultrashort laser pulse characterization; Atomic measurements; Neural networks; Nonlinear optics; Optical pulse shaping; Optical pulses; Optical refraction; Optical variables control; Pulse measurements; Shape measurement; Ultrafast optics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks,1997., International Conference on
  • Conference_Location
    Houston, TX
  • Print_ISBN
    0-7803-4122-8
  • Type

    conf

  • DOI
    10.1109/ICNN.1997.611629
  • Filename
    611629