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» Avoiding Divergence in the Shalvi-Weinstein Algorithm
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TSP
2008
113views more  TSP 2008»
13 years 4 months ago
Avoiding Divergence in the Shalvi-Weinstein Algorithm
The most popular algorithms for blind equalization are the constant-modulus algorithm (CMA) and the ShalviWeinstein algorithm (SWA). It is well-known that SWA presents a higher co...
Maria D. Miranda, Magno T. M. Silva, Victor H. Nas...
ICASSP
2008
IEEE
13 years 11 months ago
Avoiding divergence in the constant modulus algorithm
One of the most popular algorithms for blind equalization is the Constant Modulus Algorithm (CMA), due to its simplicity and low computational cost. However, if the step-size is n...
Maria D. Miranda, M. T. M. Silva, Vitor H. Nascime...
FGR
2011
IEEE
247views Biometrics» more  FGR 2011»
12 years 8 months ago
Segment and recognize expression phase by fusion of motion area and neutral divergence features
—An expression can be approximated by a sequence of temporal segments called neutral, onset, offset and apex. However, it is not easy to accurately detect such temporal segments ...
Shizhi Chen, YingLi Tian, Qingshan Liu, Dimitris N...
EGH
2009
Springer
13 years 2 months ago
Stream compaction for deferred shading
The GPU leverages SIMD efficiency when shading because it rasterizes a triangle at a time, running the same shader on all of its fragments. Ray tracing sacrifices this shader cohe...
Jared Hoberock, Victor Lu, Yuntao Jia, John C. Har...
ACIVS
2009
Springer
13 years 9 months ago
A New Feasible Approach to Multi-dimensional Scale Saliency
In this paper, we present a multi-dimensional extension of an image feature extractor, the scale saliency algorithm by Kadir and Brady. In order to avoid the curse of dimensionalit...
Pablo Suau, Francisco Escolano