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» On sparse signal representations
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ARCS
2005
Springer
15 years 11 months ago
Adaptive Object Acquisition
We propose an active vision system for object acquisition. The core of our approach is a reinforcement learning module which learns a strategy to scan an object. The agent moves a...
Gabriele Peters, Claus-Peter Alberts, Markus Bries...
ICASSP
2009
IEEE
15 years 9 months ago
Blind noise variance estimation for OFDMA signals
In this paper, we present two new noise variance estimation methods of OFDMA signals transmitted through an unknown multipath fading channel. We focus on blind estimation as it do...
François-Xavier Socheleau, Dominique Pastor...
CORR
2011
Springer
199views Education» more  CORR 2011»
15 years 1 months ago
Fast Sparse Matrix-Vector Multiplication on GPUs: Implications for Graph Mining
Scaling up the sparse matrix-vector multiplication kernel on modern Graphics Processing Units (GPU) has been at the heart of numerous studies in both academia and industry. In thi...
Xintian Yang, Srinivasan Parthasarathy, Ponnuswamy...
TCOM
2010
83views more  TCOM 2010»
15 years 4 months ago
Average power reduction for MSM optical signals via sparsity and uncertainty principle
Multiple subcarrier modulation is an appealing scheme for high-data rate optical communication. However a major drawback is its low average power efficiency. While subcarrier res...
Jovana Ilic, Thomas Strohmer
ICASSP
2011
IEEE
14 years 9 months ago
Promoting convergence in multi-channel blind signal separation using PNLMS
The proportionate normalized least-mean squares (PNLMS) adaptation algorithm exploits the sparse nature of acoustic impulse responses and assigns adaptation gain proportional to t...
Muhammad Z. Ikram