TIME–FREQUENCY CHARACTERISTICS OF NON-LINEAR SYSTEMS

1997 ◽  
Vol 11 (4) ◽  
pp. 611-620 ◽  
Author(s):  
S. Braun ◽  
M. Feldman
Keyword(s):  
Linear Systems ◽  
Frequency Characteristics ◽  
Time Frequency ◽  
Non Linear ◽  
Non Linear Systems

Analysis of non-linear systems using wavelets

2000 ◽  
Vol 214 (11) ◽  
pp. 1339-1353 ◽  
Author(s):  
W J Staszewski
Keyword(s):  
Wavelet Analysis ◽  
Linear Systems ◽  
Phase Plane ◽  
Response Functions ◽  
Time Frequency ◽  
Non Linear ◽  
Self Similar ◽  
Non Linear Systems ◽  
Cross Wavelet Analysis ◽  
Cross Wavelet

Analysis of non-linear systems is an essential part of engineering structural dynamics. A number of methods have been developed in recent years. Classical Fourier-based methods have been extended to the use of phase plane, combined time-frequency, time-scale approaches and multidimensional spectra. This paper is an attempt to collate in one place some of the recent advances in wavelet analysis for the study of non-linear systems. This includes methods related to system identification based on wavelet ridges and skeletons, damping estimation procedures, wavelet-based frequency response functions, cross-wavelet analysis, self-similar signals, coherent structures and chaos.

Holomorphically projective mappings between generalized m-parabolic Kähler manifolds

Filomat ◽  
2017 ◽  
Vol 31 (15) ◽  
pp. 4865-4873 ◽  
Author(s):  
Milos Petrovic
Keyword(s):  
Linear Systems ◽  
Kähler Manifolds ◽  
Kahler Manifolds ◽  
Covariant Derivatives ◽  
Linearly Independent ◽  
Non Linear ◽  
Non Linear Systems ◽  
Curvature Tensors ◽  
Derivatives Of

Generalized m-parabolic K?hler manifolds are defined and holomorphically projective mappings between such manifolds have been considered. Two non-linear systems of PDE?s in covariant derivatives of the first and second kind for the existence of such mappings are given. Also, relations between five linearly independent curvature tensors of generalized m-parabolic K?hler manifolds with respect to these mappings are examined.

Distributed track‐to‐track fusion for non‐linear systems with Gaussian mixture noise

2019 ◽  
Vol 13 (5) ◽  
pp. 740-749 ◽  
Author(s):  
Kelin Lu ◽  
Changyin Sun ◽  
Qien Fu ◽  
Qian Zhu
Keyword(s):  
Linear Systems ◽  
Gaussian Mixture ◽  
Track Fusion ◽  
Non Linear ◽  
Non Linear Systems
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