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JMLR
2010
141views more  JMLR 2010»
15 years 1 months ago
FastInf: An Efficient Approximate Inference Library
The FastInf C++ library is designed to perform memory and time efficient approximate inference in large-scale discrete undirected graphical models. The focus of the library is pro...
Ariel Jaimovich, Ofer Meshi, Ian McGraw, Gal Elida...
TSP
2010
15 years 1 months ago
Near optimal iterative channel estimation for KSP-OFDM
In this correspondence, we propose an iterative "turbo" channel estimation algorithm for known symbol padding (KSP) orthogonal frequency-division multiplexing (OFDM), whe...
Dieter Van Welden, Heidi Steendam
TSP
2010
15 years 1 months ago
Estimation of ambiguity functions with limited spread
This paper proposes a new estimation procedure for the ambiguity function of a non-stationary time series. The stochastic properties of the empirical ambiguity function calculated...
Heidi Hindberg, Sofia C. Olhede
CORR
2011
Springer
194views Education» more  CORR 2011»
14 years 10 months ago
Efficient Maximum Likelihood Estimation of a 2-D Complex Sinusoidal Based on Barycentric Interpolation
This paper presents an efficient method to compute the maximum likelihood (ML) estimation of the parameters of a complex 2-D sinusoidal, with the complexity order of the FFT. The...
J. Selva
ICASSP
2011
IEEE
14 years 10 months ago
Non-linear noise compensation for robust speech recognition using Gauss-Newton method
In this paper, we present the Gauss-Newton method as a unified approach to optimizing non-linear noise compensation models, such as vector Taylor series (VTS), data-driven parall...
Yong Zhao, Biing-Hwang Juang