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» Robust designs for series estimation
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ICASSP
2011
IEEE
13 years 21 days 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
IJACTAICIT
2010
120views more  IJACTAICIT 2010»
13 years 6 months ago
Representing Image Search Performance Using Time Series Models
Image search engines tend to return a large number of images which the engines consider to be relevant, and such pool of results generally is very large and may be regarded to be ...
Xiaoling Wang, Clement. H. C. Leung
TWC
2008
103views more  TWC 2008»
13 years 8 months ago
PAR-Constrained Training Signal Designs for MIMO OFDM Channel Estimation in the Presence of Frequency Offsets
Training signals for OFDM channel estimation should possess low PAR to avoid nonlinear distortions at the transmit amplifier and at the same time they should be robust against freq...
Hlaing Minn, Yinghui Li, Naofal Al-Dhahir
CSDA
2010
99views more  CSDA 2010»
13 years 9 months ago
Robust M-estimation of multivariate GARCH models
In empirical work on multivariate financial time series, it is common to postulate a Multivariate GARCH model. We show that the popular Gaussian quasi-maximum likelihood estimator...
Kris Boudt, Christophe Croux
INFOCOM
2009
IEEE
14 years 3 months ago
Tracking with Unreliable Node Sequences
—Tracking mobile targets using sensor networks is a challenging task because of the impacts of in-the-filed factors such as environment noise, sensing irregularity and etc. This...
Ziguo Zhong, Ting Zhu, Dan Wang, Tian He