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signal analyzer app r2018b (9.5  (MathWorks Inc)


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    Structured Review

    MathWorks Inc signal analyzer app r2018b (9.5
    Nonspecific substrate-borne vibrations generated with software. a Oscillogram —view of the signals in the time domain. b Spectrum —view of the frequency spectrum of the signals. c Spectrogram —view of the signals in the time-frequency domain. The spectrogram of a nonstationary signal is an estimate of the time evolution of its frequency content. The color bar indicates the power of the short-time Fourier transform in decibels—yellow colors are frequencies with a higher power, and blue colors are frequencies with very low power. The graphs were created using the Signal Analyzer App in MATLAB <t>R2018b</t> (9.5) (The MathWorks Inc., Natick, MA, USA). From Cividini et al. ( ; http://creativecommons.org/licenses/by/4.0/). (Color figure online)
    Signal Analyzer App R2018b (9.5, 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/signal+analyzer+app+r2018b+%289%2E5/pmc07473968-228-11-14?v=MathWorks+Inc
    Average 90 stars, based on 1 article reviews
    signal analyzer app r2018b (9.5 - by Bioz Stars, 2026-07
    90/100 stars

    Images

    1) Product Images from "Biotremology in arthropods"

    Article Title: Biotremology in arthropods

    Journal: Learning & Behavior

    doi: 10.3758/s13420-020-00428-3

    Nonspecific substrate-borne vibrations generated with software. a Oscillogram —view of the signals in the time domain. b Spectrum —view of the frequency spectrum of the signals. c Spectrogram —view of the signals in the time-frequency domain. The spectrogram of a nonstationary signal is an estimate of the time evolution of its frequency content. The color bar indicates the power of the short-time Fourier transform in decibels—yellow colors are frequencies with a higher power, and blue colors are frequencies with very low power. The graphs were created using the Signal Analyzer App in MATLAB R2018b (9.5) (The MathWorks Inc., Natick, MA, USA). From Cividini et al. ( ; http://creativecommons.org/licenses/by/4.0/). (Color figure online)
    Figure Legend Snippet: Nonspecific substrate-borne vibrations generated with software. a Oscillogram —view of the signals in the time domain. b Spectrum —view of the frequency spectrum of the signals. c Spectrogram —view of the signals in the time-frequency domain. The spectrogram of a nonstationary signal is an estimate of the time evolution of its frequency content. The color bar indicates the power of the short-time Fourier transform in decibels—yellow colors are frequencies with a higher power, and blue colors are frequencies with very low power. The graphs were created using the Signal Analyzer App in MATLAB R2018b (9.5) (The MathWorks Inc., Natick, MA, USA). From Cividini et al. ( ; http://creativecommons.org/licenses/by/4.0/). (Color figure online)

    Techniques Used: Generated, Software

    S tridulations of Armadillo officinalis during conglobation, a potential form of secondary defense against predation. a Oscillogram —view of signals in the time domain. b Spectrum —view of the frequency spectrum of the signals (highest intensity reached around 9 kHz). c Spectrogram —view of the signals in the time-frequency domain. The spectrogram of a nonstationary signal is an estimate of the time evolution of its frequency content. The color bar indicates the power of the short-time Fourier transform in decibels—yellow colors are frequencies with a higher power, and blue colors are frequencies with very low power. The strong yellow horizontal line shows the existence of a 9-kHz tone in all the stridulation sets. d Persistence spectrum —a time-frequency view that shows the percentage of the time that a given frequency is present in the signal. The graphs were created using the Signal Analyzer App in MATLAB R2018b (9.5) (The MathWorks Inc., Natick, MA, USA). From Cividini et al. ( ; http://creativecommons.org/licenses/by/4.0/). (Color figure online)
    Figure Legend Snippet: S tridulations of Armadillo officinalis during conglobation, a potential form of secondary defense against predation. a Oscillogram —view of signals in the time domain. b Spectrum —view of the frequency spectrum of the signals (highest intensity reached around 9 kHz). c Spectrogram —view of the signals in the time-frequency domain. The spectrogram of a nonstationary signal is an estimate of the time evolution of its frequency content. The color bar indicates the power of the short-time Fourier transform in decibels—yellow colors are frequencies with a higher power, and blue colors are frequencies with very low power. The strong yellow horizontal line shows the existence of a 9-kHz tone in all the stridulation sets. d Persistence spectrum —a time-frequency view that shows the percentage of the time that a given frequency is present in the signal. The graphs were created using the Signal Analyzer App in MATLAB R2018b (9.5) (The MathWorks Inc., Natick, MA, USA). From Cividini et al. ( ; http://creativecommons.org/licenses/by/4.0/). (Color figure online)

    Techniques Used:



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    Nonspecific substrate-borne vibrations generated with software. a Oscillogram —view of the signals in the time domain. b Spectrum —view of the frequency spectrum of the signals. c Spectrogram —view of the signals in the time-frequency domain. The spectrogram of a nonstationary signal is an estimate of the time evolution of its frequency content. The color bar indicates the power of the short-time Fourier transform in decibels—yellow colors are frequencies with a higher power, and blue colors are frequencies with very low power. The graphs were created using the Signal Analyzer App in MATLAB <t>R2018b</t> (9.5) (The MathWorks Inc., Natick, MA, USA). From Cividini et al. ( ; http://creativecommons.org/licenses/by/4.0/). (Color figure online)
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    Image Search Results


    Nonspecific substrate-borne vibrations generated with software. a Oscillogram —view of the signals in the time domain. b Spectrum —view of the frequency spectrum of the signals. c Spectrogram —view of the signals in the time-frequency domain. The spectrogram of a nonstationary signal is an estimate of the time evolution of its frequency content. The color bar indicates the power of the short-time Fourier transform in decibels—yellow colors are frequencies with a higher power, and blue colors are frequencies with very low power. The graphs were created using the Signal Analyzer App in MATLAB R2018b (9.5) (The MathWorks Inc., Natick, MA, USA). From Cividini et al. ( ; http://creativecommons.org/licenses/by/4.0/). (Color figure online)

    Journal: Learning & Behavior

    Article Title: Biotremology in arthropods

    doi: 10.3758/s13420-020-00428-3

    Figure Lengend Snippet: Nonspecific substrate-borne vibrations generated with software. a Oscillogram —view of the signals in the time domain. b Spectrum —view of the frequency spectrum of the signals. c Spectrogram —view of the signals in the time-frequency domain. The spectrogram of a nonstationary signal is an estimate of the time evolution of its frequency content. The color bar indicates the power of the short-time Fourier transform in decibels—yellow colors are frequencies with a higher power, and blue colors are frequencies with very low power. The graphs were created using the Signal Analyzer App in MATLAB R2018b (9.5) (The MathWorks Inc., Natick, MA, USA). From Cividini et al. ( ; http://creativecommons.org/licenses/by/4.0/). (Color figure online)

    Article Snippet: The graphs were created using the Signal Analyzer App in MATLAB R2018b (9.5) (The MathWorks Inc., Natick, MA, USA).

    Techniques: Generated, Software

    S tridulations of Armadillo officinalis during conglobation, a potential form of secondary defense against predation. a Oscillogram —view of signals in the time domain. b Spectrum —view of the frequency spectrum of the signals (highest intensity reached around 9 kHz). c Spectrogram —view of the signals in the time-frequency domain. The spectrogram of a nonstationary signal is an estimate of the time evolution of its frequency content. The color bar indicates the power of the short-time Fourier transform in decibels—yellow colors are frequencies with a higher power, and blue colors are frequencies with very low power. The strong yellow horizontal line shows the existence of a 9-kHz tone in all the stridulation sets. d Persistence spectrum —a time-frequency view that shows the percentage of the time that a given frequency is present in the signal. The graphs were created using the Signal Analyzer App in MATLAB R2018b (9.5) (The MathWorks Inc., Natick, MA, USA). From Cividini et al. ( ; http://creativecommons.org/licenses/by/4.0/). (Color figure online)

    Journal: Learning & Behavior

    Article Title: Biotremology in arthropods

    doi: 10.3758/s13420-020-00428-3

    Figure Lengend Snippet: S tridulations of Armadillo officinalis during conglobation, a potential form of secondary defense against predation. a Oscillogram —view of signals in the time domain. b Spectrum —view of the frequency spectrum of the signals (highest intensity reached around 9 kHz). c Spectrogram —view of the signals in the time-frequency domain. The spectrogram of a nonstationary signal is an estimate of the time evolution of its frequency content. The color bar indicates the power of the short-time Fourier transform in decibels—yellow colors are frequencies with a higher power, and blue colors are frequencies with very low power. The strong yellow horizontal line shows the existence of a 9-kHz tone in all the stridulation sets. d Persistence spectrum —a time-frequency view that shows the percentage of the time that a given frequency is present in the signal. The graphs were created using the Signal Analyzer App in MATLAB R2018b (9.5) (The MathWorks Inc., Natick, MA, USA). From Cividini et al. ( ; http://creativecommons.org/licenses/by/4.0/). (Color figure online)

    Article Snippet: The graphs were created using the Signal Analyzer App in MATLAB R2018b (9.5) (The MathWorks Inc., Natick, MA, USA).

    Techniques: