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» Approximation properties of multivariate wavelets
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MOC
1998
104views more  MOC 1998»
13 years 4 months ago
Approximation properties of multivariate wavelets
Abstract. Wavelets are generated from refinable functions by using multiresolution analysis. In this paper we investigate the approximation properties of multivariate refinable f...
Rong-Qing Jia
ICIP
2009
IEEE
14 years 5 months ago
Efficient Multivariate Skellam Shrinkage For Denoising Photon-limited Image Data: An Empirical Bayes Approach
In this article we address the issue of denoising photon-limited image data by deriving new and efficient multivariate Bayesian estimators that approximate the conditional expecta...
JAT
2007
55views more  JAT 2007»
13 years 4 months ago
The Homogeneous Approximation Property for wavelet frames
An irregular wavelet frame has the form W(ψ, Λ) = {a−1/2 ψ(x a − b)}(a,b)∈Λ, where ψ ∈ L2 (R) and Λ is an arbitrary sequence of points in the affine group A = R+ × ...
Christopher Heil, Gitta Kutyniok
CONIELECOMP
2006
IEEE
13 years 11 months ago
Chaotic Time Series Approximation Using Iterative Wavelet-Networks
This paper presents a wavelet neural-network for learning and approximation of chaotic time series. Wavelet-networks are inspired by both feed-forward neural networks and the theo...
E. S. Garcia-Trevino, Vicente Alarcón Aquin...
ICIP
2001
IEEE
14 years 6 months ago
Orthogonal quincunx wavelets with fractional orders
We present a new family of 2D orthogonal wavelets which uses quincunx sampling. The orthogonal refinement filters have a simple analytical expression in the Fourier domain as a fu...
Manuela Feilner, Mathews Jacob, Michael Unser