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CORR
2010
Springer
145views Education» more  CORR 2010»
13 years 5 months ago
Orthogonal symmetric Toeplitz matrices for compressed sensing: Statistical isometry property
Recently, the statistical restricted isometry property (RIP) has been formulated to analyze the performance of deterministic sampling matrices for compressed sensing. In this paper...
Kezhi Li, Lu Gan, Cong Ling
ICASSP
2011
IEEE
12 years 11 months ago
Improved model-based spectral compressive sensing via nested least squares
This paper introduces a new algorithm for reconstructing signals with sparse spectrums from noisy compressive measurements. The proposed model-based algorithm takes the signal str...
Mahdi Shaghaghi, Sergiy A. Vorobyov
ICASSP
2008
IEEE
14 years 2 months ago
Compressive sensing of parameterized shapes in images
Compressive Sensing (CS) uses a relatively small number of non-traditional samples in the form of randomized projections to reconstruct sparse or compressible signals. The Hough t...
Ali Cafer Gurbuz, James H. McClellan, Justin K. Ro...
CG
2007
Springer
13 years 7 months ago
Temporal wavelet-based compression for 3D animated models
We present an efficient compression scheme for animated sequences of triangular meshes of the same connectivity. The proposed algorithm exploits the temporal coherence of the geo...
Frédéric Payan, Marc Antonini
ICIP
2002
IEEE
14 years 9 months ago
Data rate smoothing in interactive walkthrough applications using 2D prefetching
Compared to a geometric approach, image based rendering applied to 3D view reconstruction doesn't require 3D model construction and doesn't depend on the complexity of t...
Vitali Zagorodnov, Peter J. Ramadge