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
Link To Document :
بازگشت