Journal ArticleDOI
Parametric time-domain methods for non-stationary random vibration modelling and analysis — A critical survey and comparison
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TLDR
A critical survey and comparison ofparametric time-domain methods for non-stationary random vibration modelling and analysis based upon a single vibration signal realization confirms the advantages and high performance characteristics of parametric methods.About:
This article is published in Mechanical Systems and Signal Processing.The article was published on 2006-05-01. It has received 246 citations till now. The article focuses on the topics: Parametric statistics & Random vibration.read more
Citations
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Journal ArticleDOI
Inspection of Uncertainty Effects on Structural Fault Diagnosing of Transmission Towers
TL;DR: In this paper, a comparative investigation of several output-only identification methods, especially based on measured signals from transmission towers, was conducted on a laboratory model of a transmission tower to develop the system identification methods using time series signal for long-term structural health monitoring purposes.
Journal ArticleDOI
Decoupled Kalman Filter Based Identification of Time-Varying FIR Systems
TL;DR: In this paper, the decoupled Kalman filter trackers (decoupled KF) algorithm is proposed, which can be regarded as an attractive alternative to the state-of-the-art algorithms which are computationally demanding.
Proceedings ArticleDOI
Multi-channel output-only identification of an extendable arm structure under random excitation: A comparison of parametric methods
TL;DR: In this article, the problem of multi-channel output-only identification of the time-varying dynamics of an extendable prismatic arm structure under random excitation is considered.
Emotion Recognition from Speech with Acoustic, Non-Linear and Wavelet-based Features Extracted in Different Acoustic Conditions
Vásquez Correa,Juan Camilo +1 more
TL;DR: This research work aims in the development of a methodology for the automatic emotion recognition from speech signals in non-controlled noise conditions and proposes a set of measures derived from parametric non-stationary analysis using time dependent ARMA models.
References
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Journal ArticleDOI
Estimating the Dimension of a Model
TL;DR: In this paper, the problem of selecting one of a number of models of different dimensions is treated by finding its Bayes solution, and evaluating the leading terms of its asymptotic expansion.
Estimating the dimension of a model
TL;DR: In this paper, the problem of selecting one of a number of models of different dimensions is treated by finding its Bayes solution, and evaluating the leading terms of its asymptotic expansion.
Book
System Identification: Theory for the User
TL;DR: Das Buch behandelt die Systemidentifizierung in dem theoretischen Bereich, der direkte Auswirkungen auf Verstaendnis and praktische Anwendung der verschiedenen Verfahren zur IdentifIZierung hat.