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MA
2011
Springer
193views Communications» more  MA 2011»
12 years 11 months ago
Spatial autoregressive and moving average Hilbertian processes
Since the initial work on spatial statistical models developed in Bhattacharyya, Khalil and Richardson (1996), Basu and Reinsel (1993), Güyon (1995), Martin (1979, 1990, 1996), Ja...
María Dolores Ruiz-Medina
ICASSP
2008
IEEE
13 years 11 months ago
Weighted maximum likelihood autoregressive and moving average spectrum modeling
We propose new algorithms for estimating autoregressive (AR), moving average (MA), and ARMA models in the spectral domain. These algorithms are derived from a maximum likelihood a...
Roland Badeau, Bertrand David
TIP
2008
98views more  TIP 2008»
13 years 4 months ago
Image Interpolation by Adaptive 2-D Autoregressive Modeling and Soft-Decision Estimation
The challenge of image interpolation is to preserve spatial details. We propose a soft-decision interpolation technique that estimates missing pixels in groups rather than one at a...
Xiangjun Zhang, Xiaolin Wu
TWC
2008
148views more  TWC 2008»
13 years 4 months ago
ARMA Synthesis of Fading Channels
Computationally scalable and accurate estimation, prediction, and simulation of wireless communication channels is critical to the development of more adaptive transceiver algorith...
Hani Mehrpouyan, Steven D. Blostein
ICIP
2000
IEEE
14 years 6 months ago
Robust 2D Shape Estimation of Moving Objects Considering Spatial and Temporal Coherency in One Map Detection Rule
In this paper an algorithm for 2D shape estimation of moving objects is proposed, which reduces the estimation error compared to the ISO/MPEG-4 reference. The improvement is achie...
Roland Mech