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125
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TSP
2010
14 years 10 months ago
Low-complexity decoding via reduced dimension maximum-likelihood search
In this paper, we consider a low-complexity detection technique referred to as a reduced dimension maximum-likelihood search (RD-MLS). RD-MLS is based on a partitioned search which...
Jun Won Choi, Byonghyo Shim, Andrew C. Singer, Nam...
145
Voted
CVPR
2011
IEEE
14 years 7 months ago
Entropy Rate Superpixel Segmentation
We propose a new objective function for superpixel segmentation. This objective function consists of two components: entropy rate of a random walk on a graph and a balancing term....
Ming-Yu Liu, Oncel Tuzel, Srikumar Ramalingam, Ram...
162
Voted
ICASSP
2011
IEEE
14 years 7 months ago
Stochastic resource allocation for cognitive radio networks based on imperfect state information
Efficient design of cognitive radio networks calls for secondary users implementing adaptive resource allocation, which requires knowledge of the channel state information in ord...
Antonio G. Marqués, Georgios B. Giannakis, ...
140
Voted
ICASSP
2011
IEEE
14 years 7 months ago
Power allocation optimization in OFDM-based cognitive radios based on sensing information
Owing to the non-zero probability of the missed detection and false alarm of active primary transmission, a certain degree of performance degradation of the primary user (PU) from...
Xiaoge Huang, Baltasar Beferull-Lozano
158
Voted
ICASSP
2011
IEEE
14 years 7 months ago
Near-field array shape calibration
In the important domain of array shape calibration, the near-field case poses a challenging problem due to the array response complexity induced by the range effect. In this pape...
Shuang Wan, Pei-Jung Chung, Bernard Mulgrew
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