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» Reducing the Complexity of Reductions
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VTC
2006
IEEE
158views Communications» more  VTC 2006»
15 years 5 months ago
An Adaptive-Scaling Algorithm for OFDM PAR Reduction Using Active Constellation Extension
Abstract— The Active Constellation Extension (ACE) technique is a lossless (in terms of throughput) Peak-to-Average Power Ratio (PAR) reduction technique that adaptively extends ...
Luqing Wang, Chintha Tellambura
VTC
2006
IEEE
105views Communications» more  VTC 2006»
15 years 5 months ago
Adaptive-Mode Peak-to-Average Power Ratio Reduction Algorithm for OFDM-Based Cognitive Radio
— In this paper, we present a novel low complexity algorithm for reducing the peak-to-average power ratio (PAPR) occurring in OFDM-based cognitive radios. Although several PAPR r...
Rakesh Rajbanshi, Alexander M. Wyglinski, Gary J. ...
CORR
1999
Springer
93views Education» more  CORR 1999»
14 years 11 months ago
On the Power of Positive Turing Reductions
: In the early 1980s, Selman's seminal work on positive Turing reductions showed that positive Turing reduction to NP yields no greater computational power than NP itself. Thu...
Edith Hemaspaandra
CCGRID
2006
IEEE
15 years 5 months ago
Statistical Data Reduction for Efficient Application Performance Monitoring
There is a growing need for systems that can monitor and analyze application performance data automatically in order to deliver reliable and sustained performance to applications....
Lingyun Yang, Jennifer M. Schopf, Catalin Dumitres...
SDM
2007
SIAM
182views Data Mining» more  SDM 2007»
15 years 1 months ago
Distance Preserving Dimension Reduction for Manifold Learning
Manifold learning is an effective methodology for extracting nonlinear structures from high-dimensional data with many applications in image analysis, computer vision, text data a...
Hyunsoo Kim, Haesun Park, Hongyuan Zha