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gaussian low pass filter matlab function: 'fspecial  (MathWorks Inc)


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    MathWorks Inc gaussian low pass filter matlab function: 'fspecial
    Gaussian Low Pass Filter Matlab Function: 'Fspecial, 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/matlab+function+fspecial/pm36731681-88-7-11
    Average 90 stars, based on 1 article reviews
    gaussian low pass filter matlab function: 'fspecial - by Bioz Stars, 2026-11
    90/100 stars

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    Article Title: Non-Contact Laser Ultrasound Detection of Internal Gas Defects in Lithium-Ion Batteries.
    Article Snippet: Due to electromagnetic interference during the detection process, a Gaussian filter with a frequency range of 50 kHz to 130 kHz is applied to the received signals in MATLAB R2021a to improve the signal-to-noise ratio, as shown in Figure 3b.

    Article Title: Non-Contact Laser Ultrasound Detection of Internal Gas Defects in Lithium-Ion Batteries
    Article Snippet: Due to electromagnetic interference during the detection process, a Gaussian filter with a frequency range of 50 kHz to 130 kHz is applied to the received signals in MATLAB R2021a to improve the signal-to-noise ratio, as shown in b.

    Article Title: Repeatability and reliability of cerebrovascular reactivity in young adults using multi-echo, multi-contrast MRI
    Article Snippet: Data were smoothed using a Gaussian filter (FWHM = 4 mm) and band-pass filtered (resting state only, 0.0001-0.08 Hz) using a publicly available MATLAB script for CVR mapping.

    Article Title: Prompt gamma-ray imaging in realistic background conditions of a boron neutron capture therapy facility.
    Article Snippet: Following image subtraction, a Gaussian filter was applied in Matlab to reduce noise and enhance image quality.

    Article Title: Pulsed stimuli enable p53 phase resetting to synchronize single cells and modulate cell fate.
    Article Snippet: The traces were then smoothed using a gaussian moving filter (smoothdata function in MATLAB) with a window size corresponding to a realworld time of 3 h and 20 min; this window size aids in smoothing out smaller noisy fluctuations while retaining overall pulsatility of the system.

    Article Title: Functionally distinct GABAergic amacrine cell types regulate spatiotemporal encoding in the mouse retina.
    Article Snippet: The stack of adjusted images was filtered with a Gaussian filter (3 × 3 pixels), and then each image was downsampled to 0.8 of the original using the MATLAB imresize function.

    Article Title: Grouping signals in primate visual cortex.
    Article Snippet: 5,64 These z-scores were arranged in a map of visual space according to the stimulus Neuron 113, 1–13.e1–e5, August 6, 2025 e2 positions, which was then smoothed with a Gaussian filter (using the MATLAB function imgaussfilt with parameter σ = 1).



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    Illustrations showing the potential blurring effects of acuity and motion. Defocus and motion blur were done using MATLAB functions <t>fspecial</t> (for filter definition) and imfilter (to apply the filter to the image). Structural colours show weakly in this photograph; see electronic supplementary material, figures S1 and S2 for effects on structural colours and more details. ( a ) Six guppies seen at short distance (as in typical guppy courtship). ( b ) The same guppies seen at a distance (as by a predator). ( c ) Motion blur during the sigmoid courtship display in which the body is rapidly rotated along the body long axis, blurring vertically. This also has a strong effect on the structural colours because they only reflect strongly in certain directions, causing a strong flicker. ( d ) Motion blur when foraging or fleeing a predator, blurring horizontally. This kind of motion results in a lot less structural colour flicker because the long axis is not rotated very much, if at all. Note the loss of colour and luminance contrast due to acuity limits and note the very different appearances due to motion in different directions. Similar effects occur for structural colours (electronic supplementary material, figures S1 and S2). Guppies and their predators gather very different visual information.
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    Illustrations showing the potential blurring effects of acuity and motion. Defocus and motion blur were done using MATLAB functions <t>fspecial</t> (for filter definition) and imfilter (to apply the filter to the image). Structural colours show weakly in this photograph; see electronic supplementary material, figures S1 and S2 for effects on structural colours and more details. ( a ) Six guppies seen at short distance (as in typical guppy courtship). ( b ) The same guppies seen at a distance (as by a predator). ( c ) Motion blur during the sigmoid courtship display in which the body is rapidly rotated along the body long axis, blurring vertically. This also has a strong effect on the structural colours because they only reflect strongly in certain directions, causing a strong flicker. ( d ) Motion blur when foraging or fleeing a predator, blurring horizontally. This kind of motion results in a lot less structural colour flicker because the long axis is not rotated very much, if at all. Note the loss of colour and luminance contrast due to acuity limits and note the very different appearances due to motion in different directions. Similar effects occur for structural colours (electronic supplementary material, figures S1 and S2). Guppies and their predators gather very different visual information.
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    Illustrations showing the potential blurring effects of acuity and motion. Defocus and motion blur were done using MATLAB functions <t>fspecial</t> (for filter definition) and imfilter (to apply the filter to the image). Structural colours show weakly in this photograph; see electronic supplementary material, figures S1 and S2 for effects on structural colours and more details. ( a ) Six guppies seen at short distance (as in typical guppy courtship). ( b ) The same guppies seen at a distance (as by a predator). ( c ) Motion blur during the sigmoid courtship display in which the body is rapidly rotated along the body long axis, blurring vertically. This also has a strong effect on the structural colours because they only reflect strongly in certain directions, causing a strong flicker. ( d ) Motion blur when foraging or fleeing a predator, blurring horizontally. This kind of motion results in a lot less structural colour flicker because the long axis is not rotated very much, if at all. Note the loss of colour and luminance contrast due to acuity limits and note the very different appearances due to motion in different directions. Similar effects occur for structural colours (electronic supplementary material, figures S1 and S2). Guppies and their predators gather very different visual information.
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    Illustrations showing the potential blurring effects of acuity and motion. Defocus and motion blur were done using MATLAB functions fspecial (for filter definition) and imfilter (to apply the filter to the image). Structural colours show weakly in this photograph; see electronic supplementary material, figures S1 and S2 for effects on structural colours and more details. ( a ) Six guppies seen at short distance (as in typical guppy courtship). ( b ) The same guppies seen at a distance (as by a predator). ( c ) Motion blur during the sigmoid courtship display in which the body is rapidly rotated along the body long axis, blurring vertically. This also has a strong effect on the structural colours because they only reflect strongly in certain directions, causing a strong flicker. ( d ) Motion blur when foraging or fleeing a predator, blurring horizontally. This kind of motion results in a lot less structural colour flicker because the long axis is not rotated very much, if at all. Note the loss of colour and luminance contrast due to acuity limits and note the very different appearances due to motion in different directions. Similar effects occur for structural colours (electronic supplementary material, figures S1 and S2). Guppies and their predators gather very different visual information.

    Journal: Proceedings of the Royal Society B: Biological Sciences

    Article Title: How to generate and test hypotheses about colour: insights from half a century of guppy research

    doi: 10.1098/rspb.2022.2492

    Figure Lengend Snippet: Illustrations showing the potential blurring effects of acuity and motion. Defocus and motion blur were done using MATLAB functions fspecial (for filter definition) and imfilter (to apply the filter to the image). Structural colours show weakly in this photograph; see electronic supplementary material, figures S1 and S2 for effects on structural colours and more details. ( a ) Six guppies seen at short distance (as in typical guppy courtship). ( b ) The same guppies seen at a distance (as by a predator). ( c ) Motion blur during the sigmoid courtship display in which the body is rapidly rotated along the body long axis, blurring vertically. This also has a strong effect on the structural colours because they only reflect strongly in certain directions, causing a strong flicker. ( d ) Motion blur when foraging or fleeing a predator, blurring horizontally. This kind of motion results in a lot less structural colour flicker because the long axis is not rotated very much, if at all. Note the loss of colour and luminance contrast due to acuity limits and note the very different appearances due to motion in different directions. Similar effects occur for structural colours (electronic supplementary material, figures S1 and S2). Guppies and their predators gather very different visual information.

    Article Snippet: Defocus and motion blur were done using MATLAB functions fspecial (for filter definition) and imfilter (to apply the filter to the image).

    Techniques: