Results 91 to 100 of about 136,474,496 (243)

Mean phase predictor for maximum a posteriori demodulator [PDF]

, 1996
A system and method for optimal maximum a posteriori (MAP) demodulation using a novel mean phase predictor. The mean phase predictor conducts cumulative averaging over multiple blocks of phase samples to provide accurate prior mean phases, to be input ...
Altes, Richard A.
core  

Maximum a posteriori parameter estimates ±S.E. in the overt-criterion task.

, 2019
Maximum a posteriori parameter estimates ±S.E. in the overt-criterion task.
Wei Ji Ma (34683), Elyse H. Norton (3613049), Michael S. Landy (93878), Luigi Acerbi (118009)   +3 more
core   +1 more source

Variational Maximum A Posteriori model similarity and dissimilarity matching [PDF]

, 2008
A new variational Maximum A Posteriori (MAP) contextual modeling approach is presented that minimizes the product of two ratios: (a) the ratio of the model distribution to the distribution of currently estimated foreground pixels; (b) the ratio of the ...
Chiverton, John, John, Chiverton, John Chiverton, Xianghua Xie, Xie, Xianghua, Majid Mirmehdi, Mirmehdi, Majid, Xianghua, Xie   +7 more
core   +1 more source

Holocene vegetation change and fire–plant diversity shifts in Mediterranean France

Journal of Quaternary Science, EarlyView.
ABSTRACT Changes in fire activity are recognized as a major threat to biodiversity and vegetation communities across the Mediterranean Basin. However, long‐term fire–vegetation interactions remain poorly investigated. Here, we combine a high‐resolution charcoal record with pollen data from the “Étang des Aulnes” lake (southern France) to reconstruct ...
Cécile Latapy, Marion Lestienne, Andy Hennebelle, Johanne Burmeister, Aymeric LeGall, Gwendal Mouden, Damien Rius, Lisa Bajolle, Jacques‐Louis de Beaulieu, Walter Finsinger, Emmanuel Gandouin, François Demory, Cécile H. Albert, Bérangère Leys   +13 more
wiley   +1 more source

Maximum a posteriori parameter estimates ±S.E. in the covert-criterion task.

, 2019
Maximum a posteriori parameter estimates ±S.E. in the covert-criterion task.
Wei Ji Ma (34683), Elyse H. Norton (3613049), Michael S. Landy (93878), Luigi Acerbi (118009)   +3 more
core   +1 more source

Opening the Black Box of Nonprofit Reputation and Volunteer Attraction With Supervised Machine Learning

Nonprofit Management and Leadership, EarlyView.
ABSTRACT With the aim to explore the potential of machine learning for nonprofit research, this article contrasts traditional linear regression with four contemporary supervised machine learning approaches. Concretely, we predict (1) reputation ratings and (2) the total number of volunteers for 4021 non‐profit organizations in the U.S.
Moritz Schmid, Hannes Lampe, Jurgen Willems   +2 more
wiley   +1 more source

A convex nonlocal total variation regularization algorithm for multiplicative noise removal

EURASIP Journal on Image and Video Processing, 2019
This study proposes a nonlocal total variation restoration method to address multiplicative noise removal problems. The strictly convex, objective, nonlocal, total variation effectively utilizes prior information about the multiplicative noise and uses ...
Mingju Chen, Hua Zhang, Qiang Han, Chen Cheng Huang   +3 more
doaj   +1 more source

Recovery from electrode position uncertainties in geophysical electrical resistance tomography – Application to moisture transport imaging

Near Surface Geophysics, EarlyView.
Abstract In studies of subsurface hydrology, monitoring and imaging techniques are used to estimate the moisture content, or to track moisture or injected tracer movement. One applied imaging technique is electrical resistance tomography (ERT), in which measurements collected using electrodes placed on the ground surface or in boreholes are used to ...
Mikko Räsänen, Ruanui Nicholson, Jari Kaipio, Aku Ursin   +3 more
wiley   +1 more source

Desarrollo de una Herramienta Software para la Detección y Ubicación de Fallas en un Sistema Eléctrico de Potencia usando el módulo DPL de DIgSILENT PowerFactory

Revista Técnica Energía, 2018
La aplicación de la tecnología fasorial ofrece nuevas posibilidades para la supervisión, protección, análisis y control de Sistemas Eléctricos de Potencia (SEP).
D. F. Chávez , J. Abad , H. N. Arcos   +2 more
doaj   +1 more source

A Gauss–Newton Method for ODE Optimal Tracking Control

Optimal Control Applications and Methods, EarlyView.
This paper presents a Gauss–Newton method for optimal tracking control of ordinary differential equations (ODEs). The approach formulates the problem as an infinite‐dimensional optimization problem, allowing both control functions and uncertain model parameters to be optimized.
Vicky Holfeld, Michael Burger, Claudia Schillings   +2 more
wiley   +1 more source