Results 51 to 60 of about 11,070,228 (147)
Sparse signal subspace decomposition based on adaptive over-complete dictionary
EURASIP Journal on Image and Video Processing, 2017 This paper proposes a subspace decomposition method based on an over-complete dictionary in sparse representation, called “sparse signal subspace decomposition” (or 3SD) method. This method makes use of a novel criterion based on the occurrence frequency
Hong Sun +2 more
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Matched direction detectors and estimators for array processing with subspace steering vector uncertainties [PDF]
, 2005 In this paper, we consider the problem of estimating and detecting a signal whose associated spatial signature is known to lie in a given linear subspace but whose coordinates in this subspace are otherwise unknown, in the presence of subspace ...
Besson, Olivier +2 more
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KRYLOV SUBSPACE METHODS FOR SOLVING LARGE LYAPUNOV EQUATIONS [PDF]
, 1994 Published ...
KASENALLY, EM, JAIMOUKHA, IM
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Millimeter Wave Channel Estimation Based on Subspace Fitting
IEEE Access, 2018 We consider the channel estimation of millimeter wave (mmWave) multiple-input multiple-output systems, where both the transmitter and receiver adopt hybrid beamforming structure.
Didi Zhang +3 more
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Forecasting linear dynamical systems using subspace methods [PDF]
A new procedure to predict with subspace methods is presented in this paper. It is based on combining multiple forecasts obtained from setting a range of values for a specic parameter that is typically xed by the user in the subspace methods literature ...
Alfredo García-Hiernaux
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Signal Subspace Speech Enhancement with Oblique Projection and Normalization [PDF]
Radioengineering, 2017 In this paper, a subspace speech enhancement method handling colored noise using oblique projection is proposed. Perceptual features and variance normalization are used to reduce residual noise and improve speech intelligibility of the output. Initially,
S. Surendran, T. K. Kumar
doaj
Robust gait recognition from extremely low frame-rate videos [PDF]
, 2013 In this paper, we propose a gait recognition method for extremely low frame-rate videos. Different from the popular temporal reconstruction-based methods, the proposed method uses the average gait over the whole sequence as input feature template ...
Choudhury, Sruti Das +2 more
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IEEE Access, 2018 With the increasing demand for unsupervised learning for fault diagnosis, the subspace clustering has been considered as a promising technique enabling unsupervised fault diagnosis. Although various subspace clustering methods have been developed to deal
Jie Gao +4 more
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Noise adaptive training for subspace Gaussian mixture models [PDF]
, 2013 Noise adaptive training (NAT) is an effective approach to normalise environmental distortions when training a speech recogniser on noise-corrupted speech.
Renals, Steve, Ghoshal, Arnab, Lu, Liang
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Unit Roots and Cointegrating Matrix Estimation using Subspace Methods [PDF]
We propose a new procedure to detect unit roots based on subspace methods. It has three main original features. First, the same method can be applied to single or multiple time series.
José Casals +2 more
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