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Stationarity detection in the initial transient problem

ACM Transactions on Modeling and Computer Simulation, 1992
Let X = {X(t)} t ≥ 0 be a stochastic process with a stationary version X * . It is investigated when it is possible to generate by simulation a version X˜ of X with lower initial ...
Asmussen, Søren   +2 more
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Detection of transient signals by the Gabor representation

ICASSP '87. IEEE International Conference on Acoustics, Speech, and Signal Processing, 1989
This paper proposes to use the Gabor representation for the detection of transient signals with unknown arrival times. We introduce a one-sided exponential window function, which seems to the most appropriate for transient modeling. Explicit expressions for the Gabor coefficients are given for this window function.
Benjamin Friedlander, Boaz Porat
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Transient detection using a homogeneity test

1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258), 1999
A simple yet effective statistic is proposed for detecting a transient buried in partially unknown ambient noise. The transient model is frequency scattered increased variance observations. We pose the transient detection problem as a homogeneity test and the statistic is derived as the (generalized) likelihood ratio test of overdispersion when the ...
Biao Chen 0001   +2 more
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Detection of transient signals based on the tricepstrum

Digital Signal Processing, 2018
Abstract In this paper, the problem of detecting transient signals of unknown waveforms and arrival times embedded in white Gaussian noise is addressed. The use of the cepstrum coefficients of the fourth order correlations of the transient signal for forming a detection statistic is demonstrated.
Christos K. Papadopoulos   +2 more
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Improved power-law detection of transients

2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221), 2002
A power-law statistic operating on DFT data has emerged as a basis for a remarkably robust detector of transient signals having unknown structure, location and strength. In this paper we offer a number of improvements to the original power-law detector.
Zhen Wang 0029, Peter Willett 0001
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Detecting a transient signal by bispectral analysis

IEEE Transactions on Acoustics, Speech, and Signal Processing, 1990
A method for detecting a transient waveform of unknown shape in additive stationary noise is presented. The method uses a statistic computed from the sample bispectrum of a sampled record of the signal-plus-noise of length T=N tau , where 1/ tau is the sampling rate.
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Improvements on transient signal detection for RF fingerprinting

2017 25th Signal Processing and Communications Applications Conference (SIU), 2017
The detection of the transient signal plays a significant role in RF fingerprinting for transmitter devices. This paper proposes modifications on two transient signal detection methods, namely, Bayesian change point detection and phase based detection. For initial tests, Bluetooth signals captured in the laboratory are used for performance analysis of ...
Aysha M. Ali, Emre Uzundurukan, Ali Kara
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Wavelet network-based detection and classification of transients

IEEE Transactions on Instrumentation and Measurement, 2001
A methodology is presented for developing a digital signal-processing architecture capable of simultaneous and automated detection and classification of transient signals. The basic unit of the aforementioned architecture is the wavelet network, which combines the ability of the wavelet transform of analyzing nonstationary signals with the ...
ANGRISANI, LEOPOLDO   +2 more
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Multiscale Detection of Transient Evoked Otoacoustic Emissions

IEEE Transactions on Biomedical Engineering, 2006
This paper presents a unified approach to multiscale detection of transient evoked otoacoustic emissions (TEOAEs). Using statistical detection theory, it is shown that the optimal detector involves a time windowing operation where the window can be estimated from ensemble correlation information.
Vaidotas Marozas   +3 more
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Improved transient oscillation detection with multiwavelets

2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2011
Multiwavelets have recently been used for analysis of transient oscillations. Here we use them for transient oscillation detection by incorporating them into two existing Morlet-based self-normalizing detectors, one that operates on a single time series and another on two correlated time series.
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