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envelope function  (MathWorks Inc)


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    MathWorks Inc envelope function
    Envelope Function, supplied by MathWorks Inc, 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/envelope+function+in/pmc12209899-166-40-27
    Average 90 stars, based on 1 article reviews
    envelope function - by Bioz Stars, 2026-10
    90/100 stars

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    Article Title: Relevance of the Spectral Analysis Method of Tilted Fiber Bragg Grating-Based Biosensors: A Case-Study for Heart Failure Monitoring
    Article Snippet: The envelopes were obtained by the envelope function in MATLAB using the “peak” parameter, which applies a spline over local maxima separated by at least N points.

    Article Title: Paired Associative Stimulation Fails to Induce Plasticity in Freely Behaving Intact Rats
    Article Snippet: To do this, we used the envelope function in MATLAB, which calculated the peak envelope of the filtered data with a moving spline over the local maxima of the previous 32 data points.

    Article Title: External and middle ear influence on envelope following responses.
    Article Snippet: Considerable between-subject variability in envelope following response (EFR) amplitude limits its clinical translation.. Based on a pattern of lower amplitude and larger variability in the low (<1.2 kHz) and high (>8 kHz), relative to mid (1–3 kHz) frequency carriers, we hypothesized that the between-subject variability in external and middle ear (EM) contribute to between-subject variability in EFR amplitude.. It is predicted that equalizing the stimulus reaching the cochlea by accounting for EM differences using forward pressure level (FPL) calibration would at least partially improve response amplitude and reduce between-subject variability.

    Article Title: Non-contact lensless holographic reconstruction of diffractive intraocular lenses profiles
    Article Snippet: Finally, a curve (using the “envelope” function in Matlab) comprising the averaged values of the upper and lower envelopes that are tangent to those profiles has been subtracted from the reconstructed signals.

    Article Title: Ultrasound Pulse Emission Spectroscopy Method to Characterize Xylem Conduits in Plant Stems
    Article Snippet: From the time-domain waveforms, the pulse envelope was obtained with the built-in “envelope ()” function in MATLAB, which returns the upper and lower envelopes of the input sequence, as the magnitude of its analytic signal.

    Article Title: Stroking Stimuli to the Ear to Enhance Pleasant and Non-arousing Feelings while Listening to Sounds
    Article Snippet: Finally, the waveform envelope was computed using the envelope function in MATLAB (MathWorks, Inc., USA), following the local peaks of the sound signal at 22.7 ms intervals.



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    a Overview of perturbation data with a leave-one-drug-out (LODO) training / test set split. Drug 12 is never used in training. b Causal graphical model for subset of drugs and responses (proteins and phenotypes). Drugs are exogenous variables with known targets, e.g. it is assumed known that drug 12 directly effects protein \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$X_3$$\end{document} X 3 . Black dashed lines represent hidden confounding. For example unmeasured cell cycle may effect responses \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$X_{10}$$\end{document} X 10 and \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$X_8$$\end{document} X 8

    Journal: BMC Bioinformatics

    Article Title: Causal models and prediction in cell line perturbation experiments

    doi: 10.1186/s12859-024-06027-7

    Figure Lengend Snippet: a Overview of perturbation data with a leave-one-drug-out (LODO) training / test set split. Drug 12 is never used in training. b Causal graphical model for subset of drugs and responses (proteins and phenotypes). Drugs are exogenous variables with known targets, e.g. it is assumed known that drug 12 directly effects protein \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$X_3$$\end{document} X 3 . Black dashed lines represent hidden confounding. For example unmeasured cell cycle may effect responses \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$X_{10}$$\end{document} X 10 and \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$X_8$$\end{document} X 8

    Article Snippet: Cellbox can be fit with several envelope functions \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\phi$$\end{document} φ including identity, clipped linear, and sigmoid.

    Techniques: