A new scheme for detecting system burst changes is developed based on the continuous wavelet transform (CWT). The system is concisely represented by its time-frequency representation (TFR), the ratio of the CWTs of the output and the input. The TFR is first estimated, assuming that no system changes occur during a time period. A chi-square test is then executed to test the TFR estimate\u27s match to the data. System model changes are detected at the time samples when the assumption that the system is time invariant is broken. Simulations verify the capability of the proposed algorithm to detect burst system changes
The purpose of this work is to present a method based on the continuous wavelet transform for the de...
Time-frequency analysis of heart rate variability (HRV) provides relevant clinical information. Howe...
International audienceMultiplicative Abrupt Changes (ACs) have been considered in many applications....
A systematic framework is developed to address the parametric linear time-varying system identificat...
Summary: Detection and segmentation of a nonstationary process consist of assuming piecewise station...
A new approach for estimating linear and nonlinear continuous-time models directly from noisy observ...
The burst noise is a kind of noises that are destructive and frequently found in semiconductor devic...
Identification of linear and nonlinear time-varying systems is investigated and a new wavelet model ...
Wavelet analysis is known to be a good option for change detection in many contexts. Detecting chang...
The suppression of noises is fundamental in onsite Partial Discharge (PD) measurements. For this pur...
A method of detecting transients in mechanical systems by matching wavelets with associated signal i...
This study provides the first report on the formulation of short-time continuous wavelet transform a...
The present work proposes a methodology for modeling and identification of boundedinput bounded-outp...
The degradation of civil engineering structures may lead to a sudden stiffness reduction in a struct...
Modern Internet-based systems typically involve a large number of servers and applications and requ...
The purpose of this work is to present a method based on the continuous wavelet transform for the de...
Time-frequency analysis of heart rate variability (HRV) provides relevant clinical information. Howe...
International audienceMultiplicative Abrupt Changes (ACs) have been considered in many applications....
A systematic framework is developed to address the parametric linear time-varying system identificat...
Summary: Detection and segmentation of a nonstationary process consist of assuming piecewise station...
A new approach for estimating linear and nonlinear continuous-time models directly from noisy observ...
The burst noise is a kind of noises that are destructive and frequently found in semiconductor devic...
Identification of linear and nonlinear time-varying systems is investigated and a new wavelet model ...
Wavelet analysis is known to be a good option for change detection in many contexts. Detecting chang...
The suppression of noises is fundamental in onsite Partial Discharge (PD) measurements. For this pur...
A method of detecting transients in mechanical systems by matching wavelets with associated signal i...
This study provides the first report on the formulation of short-time continuous wavelet transform a...
The present work proposes a methodology for modeling and identification of boundedinput bounded-outp...
The degradation of civil engineering structures may lead to a sudden stiffness reduction in a struct...
Modern Internet-based systems typically involve a large number of servers and applications and requ...
The purpose of this work is to present a method based on the continuous wavelet transform for the de...
Time-frequency analysis of heart rate variability (HRV) provides relevant clinical information. Howe...
International audienceMultiplicative Abrupt Changes (ACs) have been considered in many applications....