Sciweavers

Share
ICASSP
2008
IEEE

Optimized distributed 2D transforms for irregularly sampled sensor network grids using wavelet lifting

10 years 2 months ago
Optimized distributed 2D transforms for irregularly sampled sensor network grids using wavelet lifting
We address the design and optimization of an energy-efficient lifting-based 2D transform for wireless sensor networks with irregular spatial sampling. The 2D transform is designed to allow for unidirectional computation found in existing path-wise transforms, thereby eliminating costly backward transmissions often required by existing 2D transforms, while simultaneously achieving greater data decorrelation than those path-wise transforms. We also propose a framework for optimizing the 2D transform via an extension of standard dynamic programming (DP) algorithms, where a selection is made among alternative coding schemes (e.g., different number of levels in the wavelet decomposition). A recursive DP formulation is provided and an algorithm is given that finds the minimum cost coding scheme assignment for our proposed 2D transform.
Godwin Shen, Antonio Ortega
Added 30 May 2010
Updated 30 May 2010
Type Conference
Year 2008
Where ICASSP
Authors Godwin Shen, Antonio Ortega
Comments (0)
books