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» Sampling and Reconstruction of Operators
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CORR
2008
Springer
107views Education» more  CORR 2008»
15 years 2 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
14 years 6 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
156
Voted
CVPR
2005
IEEE
16 years 4 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»
15 years 2 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»
15 years 7 months 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...