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» Sampling and Reconstruction of Operators
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CORR
2008
Springer
107views Education» more  CORR 2008»
13 years 7 months ago
Estimating Signals with Finite Rate of Innovation from Noisy Samples: A Stochastic Algorithm
As an example of the recently introduced concept of rate of innovation, signals that are linear combinations of a finite number of Diracs per unit time can be acquired by linear fi...
Vincent Yan Fu Tan, Vivek K. Goyal
ICASSP
2011
IEEE
12 years 11 months ago
Short and smooth sampling trajectories for compressed sensing
This paper explores a novel setting for compressed sensing (CS) in which the sampling trajectory length is a critical bottleneck and must be minimized subject to constraints on th...
Rebecca M. Willett
CVPR
2005
IEEE
14 years 9 months ago
Full Body Tracking from Multiple Views Using Stochastic Sampling
We present a novel approach for full body pose tracking using stochastic sampling. A volumetric reconstruction of a person is extracted from silhouettes in multiple video images. ...
Roland Kehl, Matthieu Bray, Luc J. Van Gool
ADCM
2010
59views more  ADCM 2010»
13 years 7 months ago
Sampling inequalities for infinitely smooth functions, with applications to interpolation and machine learning
Sampling inequalities give a precise formulation of the fact that a differentiable function cannot attain large values, if its derivatives are bounded and if it is small on a suff...
Christian Rieger, Barbara Zwicknagl
ISCAS
2002
IEEE
121views Hardware» more  ISCAS 2002»
14 years 18 days ago
Complex modulated critically sampled filter banks based on cosine and sine modulation
This paper explores subband processing of complex (I/Q) signals which finds various important applications especially in communications signal processing. Instead of using tradit...
Ari Viholainen, Tobias Hidalgo Stitz, Juuso Alhava...