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170
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TSP
2010
14 years 10 months ago
Decentralized sparse signal recovery for compressive sleeping wireless sensor networks
Abstract--This paper develops an optimal decentralized algorithm for sparse signal recovery and demonstrates its application in monitoring localized phenomena using energy-constrai...
Qing Ling, Zhi Tian
115
Voted
ICMCS
2007
IEEE
163views Multimedia» more  ICMCS 2007»
15 years 10 months ago
Using Deformable Surface Models to Derive a DCT-Like 2D Transform
This paper introduces a ¢¤£ discrete, non-separable transform for image processing, which can be regarded as a combination of the well known Discrete Cosine Transform (DCT) wit...
Michail Krinidis, Nikos Nikolaidis, Ioannis Pitas
ICIP
2009
IEEE
16 years 4 months ago
Compressed Sensing Of Natural Images
Compressed sensing (CS) is a new technique for simultaneous data sampling and compression. In this paper, we propose and study block compressed sensing for natural images, where i...
124
Voted
ICIP
2007
IEEE
15 years 10 months ago
Incorporating Primal Sketch Based Learning Into Low Bit-Rate Image Compression
This paper proposes an image compression approach, in which we incorporate primal sketch based learning into the mainstream image compression framework. The key idea of our approa...
Yang Li, Xiaoyan Sun, Hongkai Xiong, Feng Wu
126
Voted
IPSN
2007
Springer
15 years 9 months ago
Energy-optimized image communication on resource-constrained sensor platforms
Energy-efficient image communication is one of the most important goals for a large class of current and future sensor network applications. This paper presents a quantitative com...
Dong-U Lee, Hyungjin Kim, Steven Tu, Mohammad H. R...