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TMI
2010
112views more  TMI 2010»
13 years 6 months ago
Regularized Interpolation for Noisy Images
Abstract—Interpolation is the means by which a continuouslydefined model is fit to discrete data samples. When the data samples are exempt of noise, it seems desirable to build...
Sathish Ramani, Philippe Thévenaz, Michael ...
ISBI
2002
IEEE
14 years 9 months ago
Joint estimation of cardiac kinematics and material parameters from noisy imaging data and uncertain mechanical model
There have been many efforts using image analysis algorithms to study cardiac kinematics, or using biomechanics strategies to study myocardial material properties. In this paper, ...
Huafeng Liu, Edward W. B. Lo, Pengcheng Shi
CDC
2008
IEEE
154views Control Systems» more  CDC 2008»
14 years 3 months ago
Distributed calculation of linear functions in noisy networks via linear iterations
— Given a fixed network where each node has some given initial value, and under the constraint that each node receives noisy transmissions from its immediate neighbors, we provi...
Shreyas Sundaram, Christoforos N. Hadjicostis
FOCS
2008
IEEE
14 years 3 months ago
Lower Bounds for Noisy Wireless Networks using Sampling Algorithms
We show a tight lower bound of Ω(N log log N) on the number of transmissions required to compute several functions (including the parity function and the majority function) in a...
Chinmoy Dutta, Jaikumar Radhakrishnan
TCOM
2008
100views more  TCOM 2008»
13 years 8 months ago
On the performance of concatenated convolutional code and Alamouti space-time code with noisy channel estimates and finite-depth
Abstract--In this paper, performance of the Alamouti spacetime code (STC) [1] and performance of the concatenation between the convolutional code and the Alamouti STC are derived. ...
Jittra Jootar, James R. Zeidler, John G. Proakis