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ICASSP
2011
IEEE
12 years 11 months ago
Collaborative sources identification in mixed signals via hierarchical sparse modeling
A collaborative framework for detecting the different sources in mixed signals is presented in this paper. The approach is based on CHiLasso, a convex collaborative hierarchical s...
Pablo Sprechmann, Ignacio Ramírez, Pablo Ca...
INFOCOM
2010
IEEE
13 years 5 months ago
Counting RFID Tags Efficiently and Anonymously
Radio Frequency IDentification (RFID) technology has attracted much attention due to its variety of applications, e.g., inventory control and object tracking. One important problem...
Hao Han, Bo Sheng, Chiu Chiang Tan, Qun Li, Weizhe...
APSEC
2005
IEEE
14 years 1 months ago
Feature Analysis for Service-Oriented Reengineering
Web Services together with Service-Oriented Architectures (SOA) are playing an important role in the future of distributed computing, significantly impacting software development ...
Feng Chen, Shaoyun Li, William Cheng-Chung Chu
TSP
2008
118views more  TSP 2008»
13 years 7 months ago
Maximum-Likelihood Detection of Orthogonal Space-Time Block Coded OFDM in Unknown Block Fading Channels
For orthogonal space-time block coded orthogonal frequency division multiplexing (OSTBC-OFDM) systems, many of the existing blind detection and channel estimation methods rely on t...
Tsung-Hui Chang, Wing-Kin Ma, Chong-Yung Chi
CORR
2010
Springer
207views Education» more  CORR 2010»
13 years 7 months ago
Collaborative Hierarchical Sparse Modeling
Sparse modeling is a powerful framework for data analysis and processing. Traditionally, encoding in this framework is performed by solving an 1-regularized linear regression prob...
Pablo Sprechmann, Ignacio Ramírez, Guillerm...