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Nonlinear Dynamical Analysis of Normal Voices

Seventh IEEE International Symposium on Multimedia (ISM'05), 2006
Human voice has been the focus of study for different areas of sciences. Researches in the last two decades have established the existence of chaos in human voice production. The purpose of this paper is to use nonlinear dynamics methods in the analysis of normal voices from healthy subjects and correlate them to traditional acoustic parameters as well
Maria Eugenia Dajer   +2 more
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Nonlinear analysis of dynamic force microscopy

2006 American Control Conference, 2006
Dynamic force microscopy is a powerful tool to image non-conductive materials with atomic resolution using the nonlinear interaction force. A perturbation method is extended to analyze the nonlinear oscillation dynamics of the frequency modulation dynamic force microscopy.
Jingbo Jiang, Horacio J. Marquez
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Construction and nonlinear dynamic analysis of nonlinear dynamic price model

2009 16th International Conference on Industrial Engineering and Engineering Management, 2009
A nonlinear dynamic price model considering the nonlinear factors between supply and demand was constructed in this paper. And the meanings of each parameters in the model were explained. By using nonlinear dynamic analysis, the system stability conditions were obtained from the analysis of the model.
Bin Bai, Hongli Wang, Hongchen Han
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Nonlinear Dynamic Analysis

2019
To determine the performance of structures facing earthquakes the method which is becoming increasingly significant is nonlinear dynamic analysis. To perform nonlinear dynamic analysis the method used here is incremental dynamic analysis. Range of structural response from elasticity to yielding is being covered and further extended up to dynamic ...
A. A. Waghmare, U. R. Kawade
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Nonlinear Dynamic Analysis of Pathological Voices

2013
Research on the human health evaluation through sound analysis is now attracting more and more researchers in the world. Acoustic analysis could be a useful tool to diagnose the disease. Therefore, pathological voices can be used to evaluate the health status as a complementary technique, such as bronchitis.
Chunying Fang   +3 more
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Nonlinear dynamical analysis of speech

The Journal of the Acoustical Society of America, 1996
This paper reports results of the estimation of dynamical invariants, namely Lyapunov exponents, dimension, and metric entropy for speech signals. Two optimality criteria from dynamical systems literature, namely singular value decomposition method and the redundancy method, are used to reconstruct state space trajectories of speech and make ...
Arun Kumar, S. K. Mullick
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Nonlinear analysis of dynamic signature

Indian Journal of Physics, 2013
Signature is a long trained motor skill resulting in well combination of segments like strokes and loops. It is a physical manifestation of complex motor processes. The problem, generally stated, is that how relative simplicity in behavior emerges from considerable complexity of perception–action system that produces behavior within an infinitely ...
S Rashidi, A Fallah, F Towhidkhah
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Analysis of a Nonlinear Dynamic Vibration Absorber

Journal of Applied Mechanics, 1953
Abstract This paper presents a mathematical analysis of the action of a dynamic vibration absorber. The system analyzed consists of a main mass attached to a rigid foundation by a linear spring coupled to the absorber mass by a spring of nonlinear characteristics.
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Dynamic and Nonlinear Static Analysis

2018
Chapter four focused on demonstration the basics of structural dynamic and explain the fundamental process to determine structural seismic response. In order to have a clear comprehending of the highlighted concepts within this book, it is tried to present the application of theories and calculation processes in a real buildings in all sections ...
Farzad Hejazi, Keyhan Karimzadeh
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Nonlinear dynamical factor analysis

AIP Conference Proceedings, 2001
A general method for state space analysis is presented where not only underlying factors generating the data are estimated, but also the dynamics behind time series in factor space are modeled. The mappings and the states are all unknown. The nonlinearity of the mappings makes the problem highly underdetermined and thus challenging.
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