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
Using Subspace Methods for Estimating ARMA Models for Multivariate Time Series with Conditionally Heteroskedastic Innovations [PDF]
This paper deals with the estimation of linear dynamic models of the ARMA type for the conditional mean for time series with conditionally heteroskedastic innovation process widely used in modelling financial time series.
Dietmar Bauer
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DS/CDMA Multiuser Detectors Based on Subspace Methods
Semina: Ciências Exatas e Tecnológicas, 2006 In this work blind and group-blind (Bld-MuD and SBld-MuD, respectively) multiuser detectors (MuD) are analyzed from the point of view of the trade-off between performance versus complexity; specifically, the blind and group-blind detectors are ...
Paul Jean Etienne Jeszensky +2 more
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A Class of Preconditioners for Large Indefinite Linear Systems, as by-product of Krylov subspace Methods: Part II [PDF]
In this paper we consider the parameter dependent class of preconditioners M(a,d,D) defined in the companion paper The latter was constructed by using information from a Krylov subspace method, adopted to solve the large symmetric linear system Ax = b ...
Massimo Roma, Giovanni Fasano
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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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Extension of Subspace Identification to LPTV Systems: Application to Helicopters [PDF]
, 2012 In this paper, we focus on extending the subspace identification to the class of linear periodically time-varying (LPTV) systems. The Lyapunov-Floquet transformation is first applied to the system’s state-space model in order to get the monodromy matrix (
Jhinaoui, Ahmed +5 more
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Tongxin xuebao, 2021 Considering the impact of high dimensional data redundancy and noise interference on multiview subspace clustering, a robust multiview subspace clustering method based on multi-kernel low redundancy representation learning was proposed.Firstly, by ...
Ao LI +5 more
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Forecasting VARMA processes using VAR models and subspace-based state space models [PDF]
VAR modelling is a frequent technique in econometrics for linear processes. VAR modelling offers some desirable features such as relatively simple procedures for model specification (order selection) and the possibility of obtaining quick non-iterative ...
del Hoyo, Juan +2 more
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Robust neurofuzzy rule base knowledge extraction and estimation using subspace decomposition combined with regularization and D-optimality [PDF]
, 2004 A new robust neurofuzzy model construction algorithm has been introduced for the modeling of a priori unknown dynamical systems from observed finite data sets in the form of a set of fuzzy rules.
Harris, C. J. +3 more
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Characterizing the Dynamic Response of a Chassis Frame in a Heavy-Duty Dump Vehicle based on an Improved Stochastic System Identification [PDF]
, 2015 This paper presents an online method for the assessment of the dynamic performance of the chassis frame in a heavy-duty dump truck based on a novel stochastic subspace identification (SSI) method. It introduces the use of an average correlation signal as
Chen, Zhi +3 more
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