Non-Iterative Parameter Estimation for Total Variability Model Using Randomized Singular Value Decomposition

Author(s):  
Ruchir Travadi ◽  
Shrikanth S. Narayanan
1975 ◽  
Vol 53 (13) ◽  
pp. 1215-1220 ◽  
Author(s):  
Julian Blake ◽  
Richard Barakat

The extraction of spectral information from measurements of the full or clipped photoelectron correlation function is treated. Unlike previous treatments, the discussion here is not limited to counting times short compared to the coherence time of the light. The method of singular value decomposition is applied to the case where there is no prior knowledge of the spectrum. Parameter estimation is applied when the general structure of the spectrum is known.


Author(s):  
DREW KEPPEL

Singular-value decomposition is a powerful technique that has been used in the analysis of matrices in many fields. In this paper, we summarize how it has been applied to the analysis of gravitational-wave data analysis. These include producing basis waveforms for matched filtering, decreasing the computational cost of searching for many waveforms, improving parameter estimation, and providing a method of waveform interpolation.


Geophysics ◽  
2014 ◽  
Vol 79 (5) ◽  
pp. U1-U14 ◽  
Author(s):  
Bjørn Ursin ◽  
Michelângelo G. Silva ◽  
Milton J. Porsani

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