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» Estimation of the Rate-Distortion Function
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112
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IJON
2002
98views more  IJON 2002»
15 years 3 months ago
Blind deconvolution by simple adaptive activation function neuron
The `Bussgang' algorithm is one among the most known blind deconvolution techniques in the adaptive signal processing literature. It relies on a Bayesian estimator of the sou...
Simone Fiori
133
Voted
ICIP
2000
IEEE
16 years 5 months ago
The Iterative Deconvolution of Linearly Blurred Images Using Non-Parametric Stabilizing Functions
An iterative solution to the problem of image deconvolution is presented. The previous image estimate is pre-filtered using a stabilizing function that is updated based on current...
James R. Hare, James P. Reilly
144
Voted
GLOBECOM
2009
IEEE
15 years 7 months ago
Localization Using Radial Basis Function Networks and Signal Strength Fingerprints in WLAN
Abstract—Fingerprinting localization techniques provide reliable location estimates and enable the development of location aware applications especially for indoor environments, ...
Christos Laoudias, Paul Kemppi, Christos G. Panayi...
127
Voted
ICASSP
2011
IEEE
14 years 7 months ago
Joint source-filter modeling using flexible basis functions
Improving on recent work on joint source-filter analysis of speech waveforms, we explore improvements to an autoregressive model with exogenous inputs represented by flexible ba...
Daryush D. Mehta, Daniel Rudoy, Patrick J. Wolfe
139
Voted
ECCV
2010
Springer
15 years 9 months ago
Single Image Deblurring Using Motion Density Functions
Abstract. We present a novel single image deblurring method to estimate spatially non-uniform blur that results from camera shake. We use existing spatially invariant deconvolution...