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1-D CNNs for structural damage detection: Verification on a structural health monitoring benchmark data
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Elsevier B.V.
, 2018 , Article)
Structural damage detection has been an interdisciplinary area of interest for various engineering fields. While the available damage detection methods have been in the process of adapting machine learning concepts, most ...
Efficient software platform TFSAP 7.1 and Matlab package to compute Time?Frequency Distributions and related Time-Scale methods with extraction of signal characteristics
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Elsevier B.V.
, 2018 , Article)
This article describes the source code used in the TFSAP toolbox (Boashash, 2016). It is extended with additional functions to allow reproducible research as presented in Boashash and Ouelha (in press). These codes can be ...
Refining the ambiguity domain characteristics of non-stationary signals for improved time–frequency analysis: Test case of multidirectional and multicomponent piecewise LFM and HFM signals
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Elsevier Inc.
, 2018 , Article)
This paper aims at providing a more accurate description of the ambiguity domain characteristics of a piecewise multicomponent non-stationary signals with focus on piece-wise linear frequency modulated (LFM) (PW-LFM) signal ...
Designing high-resolution time–frequency and time–scale distributions for the analysis and classification of non-stationary signals: a tutorial review with a comparison of features performance
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Elsevier Inc.
, 2018 , Article)
This paper deals with the problem of extracting information from non-stationary signals in the form of features that can be used for effective decision-making in both data analysis and machine learning for automatic ...
Robust multisensor time–frequency signal processing: A tutorial review with illustrations of performance enhancement in selected application areas
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Elsevier Inc.
, 2018 , Article)
This paper presents high-resolution multisensor time–frequency distributions (MTFDs) and their applications to the analysis of multichannel non-stationary signals. The approach combines high-resolution time–frequency ...
An improved time–frequency noise reduction method using a psycho-acoustic Mel model
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Elsevier Inc.
, 2018 , Article)
This paper addresses the problem of noise reduction in non-stationary signals. The paper first describes a human physiology based time?frequency (TF) representation (HPTF) using Mel filterbanks. It is then used to improve ...