Low-complexity estimator for four-dimensional parameters under a reparameterised distributed source model

2001 ◽  
Vol 148 (6) ◽  
pp. 313 ◽  
Author(s):  
Q. Wan ◽  
Y.-N. Peng
Keyword(s):  
Low Complexity ◽  
Source Model ◽  
Distributed Source ◽  
Dimensional Parameters ◽  
Distributed Source Model

Spatial distribution of ground shaking in characteristic earthquakes on the Wellington and Alpine faults, New Zealand, estimated from a distributed-source model

2011 ◽  
Vol 44 (1) ◽  
pp. 1-18 ◽  
Author(s):  
David J. Dowrick ◽  
David A. Rhoades
Keyword(s):  
Spatial Distribution ◽  
New Zealand ◽  
Source Model ◽  
Ground Shaking ◽  
Distributed Source ◽  
Alpine Fault ◽  
Measuring Site ◽  
Characteristic Earthquakes ◽  
Fault Trace ◽  
Distributed Source Model

A distributed-source model, recently developed by the authors, was used to study the spatial distribution of Modified Mercalli (MM) intensities and peak ground accelerations (PGA) in characteristic earthquakes, of Mw7.5 and 8.1 respectively, on the 75 km long Wellington fault and the 413 km long Alpine fault. In each event the predicted intensities reach MM10 and the PGAs reach 0.8g near the fault trace over much of its length, varying along it depending on the location of asperities. PGAs are related to MM intensity using a quadratic expression derived using New Zealand data. Comparisons are made between the PGA patterns estimated indirectly from the distributed-source MM intensity model and those estimated directly from a PGA model, which defines site-source distance as the shortest distance from the site to the fault. There are many similarities and some differences, the latter being attributable largely to the different methods of measuring site-to-source distances. Finally selected seismic risk issues for people and the built environment, including lifelines, are considered for Alpine fault earthquakes.

Differences Between MEG and High-Density EEG Source Localizations Using a Distributed Source Model in Comparison to fMRI

2014 ◽  
Vol 28 (1) ◽  
pp. 87-94 ◽  
Author(s):  
Silke Klamer ◽  
Adham Elshahabi ◽  
Holger Lerche ◽  
Christoph Braun ◽  
Michael Erb ◽  
...  
Keyword(s):  
Source Model ◽  
High Density ◽  
Distributed Source ◽  
Distributed Source Model

Source Localization of Triphasic Waves: Implications for the Pathophysiological Mechanism

2007 ◽  
Vol 38 (3) ◽  
pp. 161-167 ◽  
Author(s):  
Oh-Young Kwon ◽  
Ki-Young Jung ◽  
Ki-Jong Park ◽  
Joong-Koo Kang ◽  
Young-Min Shon ◽  
...  
Keyword(s):  
Source Localization ◽  
Current Density ◽  
Current Source ◽  
Source Model ◽  
Frontal Area ◽  
Dipole Source ◽  
Pathophysiological Mechanism ◽  
Frontal Pole ◽  
Distributed Source ◽  
Distributed Source Model

To investigate the current source location from the electroencephalograms (EEGs) of 12 patients who showed typical triphasic waves attributable to various causes, using the combination of a dipole source model and a distributed source model. The triphasic waves were explained by a single main dipole in 10 of the 12 patients, and 2 patients had two dipoles responsible for the triphasic waves. All the main dipoles had a radial orientation with respect to the frontal pole. The current density of the triphasic waves was distributed mainly in the bilateral medial frontal regions along the cingulate cortices. These findings suggest that current sources located in the medial frontal area are crucial for generating triphasic waves. The source localization may be useful for elucidating the pathophysiologic mechanism of generalized non-epileptic EEG activities, such as triphasic waves.

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