Statistics – Applications
Scientific paper
Feb 2002
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2002aipc..605..339f&link_type=abstract
LOW TEMPERATURE DETECTORS: Ninth International Workshop on Low Temperature Detectors. AIP Conference Proceedings, Volume 605, p
Statistics
Applications
2
Data Analysis: Algorithms And Implementation, Data Management
Scientific paper
Optimal extraction of pulses of constant known shape from a time series with stationary noise is well understood and widely used in detection applications. Applications where high resolution is required over a wide range of input signal amplitudes use much of the dynamic range of the sensor. The noise will in general vary over this signal range, and the response may be a nonlinear function of the energy input. We present an optimal least squares procedure for inferring input energy in such a detector with nonstationary noise and nonlinear energy response. .
Cabrera Blas
Figueroa-Feliciano Enectali
Fixsen Dale J.
Moseley Samuel Harvey
No associations
LandOfFree
Optimal fitting of non-linear detector pulses with nonstationary noise does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Optimal fitting of non-linear detector pulses with nonstationary noise, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Optimal fitting of non-linear detector pulses with nonstationary noise will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-1791325