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» Discrete Fourier Transform Computation Using Neural Networks
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ICASSP
2011
IEEE
14 years 1 months ago
Multi-sensor estimation and detection of phase-locked sinusoids
This paper proposes a method to compute the likelihood function for the amplitudes and phase shifts of noisily observed phase-locked and amplitude-constrained sinusoids. The sinus...
Christoph Reller, Hans-Andrea Loeliger, Stefano Ma...
101
Voted
DATE
2008
IEEE
170views Hardware» more  DATE 2008»
15 years 3 months ago
ETBR: Extended Truncated Balanced Realization Method for On-Chip Power Grid Network Analysis
In this paper, we present a novel simulation approach for power grid network analysis. The new approach, called ETBR for extended truncated balanced realization, is based on model...
Duo Li, Sheldon X.-D. Tan, Bruce McGaughy
JIRS
2008
100views more  JIRS 2008»
14 years 9 months ago
Model-based Predictive Control of Hybrid Systems: A Probabilistic Neural-network Approach to Real-time Control
Abstract This paper proposes an approach for reducing the computational complexity of a model-predictive-control strategy for discrete-time hybrid systems with discrete inputs only...
Bostjan Potocnik, Gasper Music, Igor Skrjanc, Boru...
74
Voted
CANDC
2009
ACM
15 years 4 months ago
A sub-symbolic model of the cognitive processes of re-representation and insight
We present a sub-symbolic computational model for effecting knowledge re-representation and insight. Given a set of data, manifold learning is used to automatically organize the d...
Dan Ventura
ICANN
2001
Springer
15 years 1 months ago
Incremental Support Vector Machine Learning: A Local Approach
Abstract. In this paper, we propose and study a new on-line algorithm for learning a SVM based on Radial Basis Function Kernel: Local Incremental Learning of SVM or LISVM. Our meth...
Liva Ralaivola, Florence d'Alché-Buc