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» Approximation properties of multivariate wavelets
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ICIP
2008
IEEE
14 years 21 days ago
Wavelet-based hybrid multilinear models for multidimensional image approximation
The wavelet transform hierarchically decomposes images with prescribed bases, while multilineal models search for optimal bases to adapt visual data. In this paper, we integrate t...
Qing Wu, Chun Chen, Yizhou Yu
CSDA
2007
124views more  CSDA 2007»
13 years 6 months ago
Wavelet based time-varying vector autoregressive modelling
Vector autoregressive (VAR) modelling is one of the most popular approaches in multivariate time series analysis. The parameters interpretation is simple, and provide an intuitive...
João Ricardo Sato, Pedro Alberto Morettin, ...
ICIP
2005
IEEE
14 years 8 months ago
New image transforms using hybrid wavelets and directional filter banks: analysis and design
We propose a new family of perfect reconstruction, non-redundant, and multiresolution geometrical image transforms using the wavelet transform in conjunction with modified versions...
Ramin Eslami, Hayder Radha
ICIP
2001
IEEE
14 years 7 months ago
A directional, shift insensitive, low-redundancy, wavelet transform
Shift variance and poor directional selectivity, two major disadvantages of the discrete wavelet transform, have previously been circumvented either by using highly redundant, non...
Rutger L. van Spaendonck, Felix C. A. Fernandes, S...
SIGMOD
2005
ACM
154views Database» more  SIGMOD 2005»
14 years 6 months ago
SHIFT-SPLIT: I/O Efficient Maintenance of Wavelet-Transformed Multidimensional Data
The Discrete Wavelet Transform is a proven tool for a wide range of database applications. However, despite broad acceptance, some of its properties have not been fully explored a...
Mehrdad Jahangiri, Dimitris Sacharidis, Cyrus Shah...