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CORR
2007
Springer
144views Education» more  CORR 2007»
13 years 7 months ago
Distributing the Kalman Filter for Large-Scale Systems
This paper derives a near optimal distributed Kalman filter to estimate a large-scale random field monitored by a network of N sensors. The field is described by a sparsely con...
Usman A. Khan, José M. F. Moura
TIP
2008
167views more  TIP 2008»
13 years 7 months ago
FIR Filter Banks for Hexagonal Data Processing
Images are conventionally sampled on a rectangular lattice, and they are also commonly stored as such a lattice. Thus, traditional image processing is carried out on the rectangula...
Q. Jiang
VLSI
2010
Springer
13 years 6 months ago
Design of low-complexity and high-speed digital Finite Impulse Response filters
—In this paper, we introduce a design methodology to implement low-complexity and high-speed digital Finite Impulse Response (FIR) filters. Since FIR filters suffer from a larg...
Diego Jaccottet, Eduardo Costa, Levent Aksoy, Paul...
TNN
2011
142views more  TNN 2011»
13 years 2 months ago
Optimum Spatio-Spectral Filtering Network for Brain-Computer Interface
—This paper proposes a feature extraction method for motor imagery brain–computer interface (BCI) using electroencephalogram. We consider the primary neurophysiologic phenomeno...
Haihong Zhang, Zhang Yang Chin, Kai Keng Ang, Cunt...
ICASSP
2011
IEEE
12 years 11 months ago
Hybrid approach for multichannel source separation combining time-frequency mask with multi-channel Wiener filter
This paper discusses a hybrid approach for the multi-channel source separation, where both a time-frequency (t-f) mask and a multichannel Wiener filter (WF) are utilized. T-f mas...
Shoko Araki, Tomohiro Nakatani