Results 31 to 40 of about 93,147 (298)
Subspace-Based Blind Channel Identification for Cyclic Prefix Systems Using Few Received Blocks [PDF]
, 2007 In this paper, a novel generalization of subspace-based blind channel identification methods in cyclic prefix (CP) systems is proposed. For the generalization, a new system parameter called repetition index is introduced whose value is unity for ...
Su, Borching, Vaidyanathan, P. P.
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Development and Demonstration of a TDOA-Based GNSS Interference Signal Localization System [PDF]
, 2012 Background theory, a reference design, and demonstration results are given for a Global Navigation Satellite System (GNSS) interference localization system comprising a distributed radio-frequency sensor network that simultaneously locates multiple ...
Bhatti, Jahshan A. +2 more
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Stochastic Analysis of the LMS Algorithm for System Identification with Subspace Inputs [PDF]
, 2008 This paper studies the behavior of the low rank LMS adaptive algorithm for the general case in which the input transformation may not capture the exact input subspace.
Bermudez, José Carlos Moreira +2 more
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Applied Sciences, 2018 This paper proposes a fault identification method based on an improved stochastic subspace modal identification algorithm to achieve high-performance fault identification of dump truck suspension.
Bingwen Liu +4 more
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Nonlinear System Identification Using Hammerstein-Wiener Neural Network and subspace algorithms [PDF]
Journal of Advances in Computer Engineering and Technology, 2015 Neural networks are applicable in identification systems from input-output data. In this report, we analyze theHammerstein-Wiener models and identify them.
Maryam Ashtari Mahini +2 more
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An Improved Selective Ensemble Learning Method for Highway Traffic Flow State Identification
IEEE Access, 2020 Reliable and accurate real-time traffic flow state identification is crucial for an intelligent transportation system (ITS). This identification is a prerequisite for alleviating traffic congestion and improving highway operation efficiency.
Zhanzhong Wang +4 more
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Mathematics, 2023 This paper presents a continuous-time subspace identification method utilizing prior information and generalized orthonormal basis functions. A generalized orthonormal basis is constructed by a rational inner function, and the transformed noises have ...
Miao Yu +3 more
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Likelihood-informed dimension reduction for nonlinear inverse problems [PDF]
, 2014 The intrinsic dimensionality of an inverse problem is affected by prior information, the accuracy and number of observations, and the smoothing properties of the forward operator.
Cui, Tiangang +4 more
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Hankel Matrix Correlation Function-Based Subspace Identification Method for UAV Servo System
International Journal of Aerospace Engineering, 2018 For the identification problem of closed-loop subspace model, we propose a zero space projection method based on the estimation of correlation function to fill the block Hankel matrix of identification model by combining the linear algebra with geometry.
Minghong She, Pengju Zhao
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Density Criteria for the Identification of Linear Time-Varying Systems
, 2015 This paper addresses the problem of identifying a linear time-varying (LTV) system characterized by a (possibly infinite) discrete set of delays and Doppler shifts. We prove that stable identifiability is possible if the upper uniform Beurling density of
Aubel, Céline, Bölcskei, Helmut
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