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CVPR
2009
IEEE
16 years 7 months ago
StaRSaC: Stable Random Sample Consensus for Parameter Estimation
We address the problem of parameter estimation in presence of both uncertainty and outlier noise. This is a common occurrence in computer vision: feature localization is perform...
Jongmoo Choi, Gérard G. Medioni
ICIP
2008
IEEE
16 years 1 months ago
Nonconvex compressive sensing and reconstruction of gradient-sparse images: Random vs. tomographic Fourier sampling
Previous compressive sensing papers have considered the example of recovering an image with sparse gradient from a surprisingly small number of samples of its Fourier transform. T...
Rick Chartrand
VC
2008
93views more  VC 2008»
14 years 11 months ago
Efficient product sampling using hierarchical thresholding
Abstract We present an efficient method for importance sampling the product of multiple functions. Our algorithm computes a quick approximation of the product on-the-fly, based on ...
Fabrice Rousselle, Petrik Clarberg, Luc Leblanc, V...
ASPDAC
2008
ACM
162views Hardware» more  ASPDAC 2008»
15 years 1 months ago
A CMOS direct sampling mixer using Switched Capacitor Filter technique for software-defined radio
This paper proposes a novel direct sampling mixer (DSM) using Switched Capacitor Filter (SCF) for multi-band receivers. The proposed DSM has a higher gain, more flexibility and low...
Hong Phuc Ninh, Takashi Moue, Takashi Kurashina, K...
AUTOMATICA
2010
96views more  AUTOMATICA 2010»
14 years 12 months ago
Issues in sampling and estimating continuous-time models with stochastic disturbances
: The standard continuous time state space model with stochastic disturbances the mathematical abstraction of continuous time white noise. To work with well defined, discrete time ...
Lennart Ljung, Adrian Wills