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Time Domain Corporation wavelet-transform analysis
Wavelet Transform Analysis, supplied by Time Domain Corporation, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/wavelet-transform+analysis/wavelet+analysis/pm37699569-218-39-26
Average 90 stars, based on 1 article reviews
wavelet-transform analysis - by Bioz Stars, 2026-10
90/100 stars

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Article Title: Acceleration Harmonic Estimation and Suppression for Hydraulic Load Simulator Based on Artificial Bee Colony with Chaotic Search Strategy
Article Snippet: As an important timedomain analysis tool, wavelet analysis overcomes the defect that FFT is completely localized in frequency domain and has no localization in time domain [8].

Article Title: High‐impedance fault detection and classification in power system distribution networks using morphological fault detector algorithm
Article Snippet: This study presents a fast, secure and reliable algorithm for the detection and classification of power system disturbances including high-impedance faults (HIFs).. The proposed algorithm utilises mathematical morphology (MM) techniques, where the non-linear MM characteristics are exploited by strategic cascading of appropriate filtering functions to form a multistage morphological fault detector (MFD) for the extraction of features necessary for the characterisation of HIFs.. The target features of the HIF are the randomness and arc extinction and re-ignition/unsymmetrical characteristics.

Article Title: Fiber Bragg grating dynamic strain sensor using an adaptive reflective semiconductor optical amplifier source
Article Snippet: The timedomain signals are analyzed by the wavelet transform method [14]: CWT τ; S 1ffiffiffi S p Z f t ψ t − τ S dt; (9) where τ is the translational parameter in the time domain, S is the scaling factor in the frequency domain, CWT (τ, S) is the amplitude distribution in the time and frequency domain, f t the transient signal, and ψ is the complex conjugate of ψ t as ψ t wPffiffiffi π p γ 1∕2 exp − t2 2 wP γ 2 iwPt ; (10) where wp is the central frequency of the mother wavelet and γ 5.336 satisfies the admissibility condition.

Article Title: Time-Frequency Analysis of Two-Dimensional Electron Spin Resonance Signals.
Article Snippet: Proceedings of the IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis, 1992; pp 513−516. (25) Serrai, H.; Senhadji, L.; de Certaines, J. D.; Coatrieux, J. L. Timedomain quantification of amplitude, chemical shift, apparent relaxation timeT* 2, and phase by wavelet-transform analysis. application to biomedical magnetic resonance spectroscopy.

Article Title: Estimation of multi-media metal(loid)s around abandoned mineral processing plants using hyperspectral technology and extreme learning machine.
Article Snippet: Hyperspectral techniques are promising alternatives to traditional methods of investigating potentially toxic metal(loid) contamination.. In this study, hyperspectral technology combined with partial least squares regression (PLSR) and extreme learning machine (ELM) established estimation models to predict the contents of copper (Cu), zinc (Zn), arsenic (As), cadmium (Cd), lead (Pb) and tin (Sn) in multi-media environments (mine tailings, soils and sediments) surrounding abandoned mineral processing plants in a typical tin-polymetallic mineral agglomeration in Guangxi Autonomous Region.. Four spectral preprocessing methods, Savitzky-Golay (SG) smoothing, continuum removal (CR), first derivative (FD) and continuous wavelet transform (CWT), were used to eliminate noise and highlight spectral features.

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Article Title: Wavelet spectrogram of noisy signals
Article Snippet: Taylor & Francis makes every effort to ensure the accuracy of all the information (the “Content”) contained in the publications on our platform.. However, Taylor & Francis, our agents, and our licensors make no representations or warranties whatsoever as to the accuracy, completeness, or suitability for any purpose of the Content.. Any opinions and views expressed in this publication are the opinions and views of the authors, and are not the views of or endorsed by Taylor & Francis.



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Journal: iScience

Article Title: Development of multi-scale indices of human mobility restriction during the COVID-19 based on air quality from local and global NO 2 concentration

doi: 10.1016/j.isci.2023.107599

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Article Snippet: R Script - Wavelet Transform analysis , This paper , Public code available at Mendeley: https://data.mendeley.com/datasets/9k4kyd2krt/draft?a=440a9027-bb00-485e-b913-bd157f6a0a46.

Techniques: Concentration Assay, Software