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
core +1 more source
Improving the convergence property of DFE using the deterministic blind channel estimation
Tongxin xuebao, 2005 A blind decision feedback equalizer （DFE） algorithm was proposed. The subspace method which was based on the second-order statistics （SOS） was employed to give the parametric estimation of channels unsupervised.
QIAO Yan-tao, ZHANG Li-jun
doaj
Modal Parameter Identification of a Structure Under Earthquake via a Wavelet-Based Subspace Approach
Applied SciencesThis paper introduces a novel wavelet-based methodology for identifying the modal parameters of a structure in the aftermath of an earthquake. Our proposed approach seamlessly combines a subspace method with a stationary wavelet packet transform.
Wei-Chih Su +2 more
doaj +1 more source
Bilinear System Identification Using Subspace Method
مجلة بغداد للعلوم, 2007 In this paper, a subspace identification method for bilinear systems is used . Wherein a " three-block " and " four-block " subspace algorithms are used. In this algorithms the input signal to the system does not have to be white .
Baghdad Science Journal
doaj +1 more source
Blind reception for multi-antenna ultra-wideband transmissions
Tongxin xuebao, 2006 A blind linear receiver for multi-antenna impulse radio ultra-wideband（UWB）communication systems was proposed.Without the need of channel information,specific properties of the received data imposed by the precoded space-time block codes（STBC）could be ...
CHENG Xian-tao, ZHU Wei-le
doaj
PLS Subspace-Based Calibration Transfer for Near-Infrared Spectroscopy Quantitative Analysis
Molecules, 2019 In order to enable the calibration model to be effectively transferred among multiple instruments and correct the differences between the spectra measured by different instruments, a new feature transfer model based on partial least squares regression ...
Yuhui Zhao +5 more
doaj +1 more source
On reducing the effect of covariate factors in gait recognition : a classifier ensemble method [PDF]
, 2015 Robust human gait recognition is challenging because of the presence of covariate factors such as carrying condition, clothing, walking surface, etc. In this paper, we model the effect of covariates as an unknown partial feature corruption problem. Since
Roli, Fabio, Guan, Yu, Li, Chang-Tsun
core +1 more source
Ellipsoidal Subspace Support Vector Data Description
IEEE Access, 2020 In this paper, we propose a novel method for transforming data into a low-dimensional space optimized for one-class classification. The proposed method iteratively transforms data into a new subspace optimized for ellipsoidal encapsulation of target ...
Fahad Sohrab +3 more
doaj +1 more source
SSA of biomedical signals: A linear invariant systems approach [PDF]
, 2010 Singular spectrum analysis (SSA) is considered from a linear invariant systems perspective. In this terminology, the extracted components are considered as outputs of a linear invariant system which corresponds to finite impulse response (FIR) filters ...
Figueiredo, Nuno +7 more
core +1 more source
Adaptive Predictive Control: A Data-Driven Closed-Loop Subspace Identification Approach
Abstract and Applied Analysis, 2014 This paper presents a data-driven adaptive predictive control method using closed-loop subspace identification. As the predictor is the key element of the predictive controller, we propose to derive such predictor based on the subspace matrices which are
Xiaosuo Luo, Yongduan Song
doaj +1 more source