A METHOD FOR AUTOMATIC BLIND ESTIMATION OF ADDITIVE NOISE VARIANCE IN DIGITAL IMAGES

2010 ◽  
Vol 69 (19) ◽  
pp. 1681-1702
Author(s):  
V. V. Lukin ◽  
S. K. Abramov ◽  
A. V. Popov ◽  
P. Ye. Eltsov ◽  
Benoit Vozel ◽  
...  
Keyword(s):  
Additive Noise ◽  
Digital Images ◽  
Blind Estimation ◽  
Noise Variance

Internal impedance characterization for black box signal source

1997 ◽  
Author(s):  
K. C. Cheok ◽  
G. E. Smid ◽  
K. Kobayashi ◽  
F. Miesterfeld ◽  
R. Hormel
Keyword(s):  
Black Box ◽  
Signal Source ◽  
Internal Impedance ◽  
Impedance Characterization

Simplified analysis of a stochastic system

1979 ◽  
Vol 44 (2) ◽  
pp. 328-339
Author(s):  
Vladimír Herles
Keyword(s):  
Statistical Analysis ◽  
Dynamic Behavior ◽  
Stochastic System ◽  
Additive Noise ◽  
Random Parameter ◽  
Systematic Difference ◽  
Order System ◽  
Constant Parameter ◽  
Random Parameters ◽  
Simplified Analysis

Contradictious results published by different authors about the dynamics of systems with random parameters have been examined. Statistical analysis of the simple 1st order system proves that the random parameter can cause a systematic difference in the dynamic behavior that cannot be (in general) described by the usual constant-parameter model with the additive noise at the output.

Semi‐empirical, parametrized spectrum estimation for X‐ray computed tomography

2021 ◽  
Author(s):  
Paul FitzGerald ◽  
Stephen Araujo ◽  
Mingye Wu ◽  
Bruno De Man
Keyword(s):  
Computed Tomography ◽  
Spectrum Estimation ◽  
X Ray ◽  
X Ray Computed ◽  
Semi Empirical
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