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linear interpolation  (MathWorks Inc)


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    Structured Review

    MathWorks Inc linear interpolation
    Linear Interpolation, 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/linear+interpolation/us12351615-609-14-18
    Average 90 stars, based on 1 article reviews
    linear interpolation - by Bioz Stars, 2026-10
    90/100 stars

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    Related Articles

    other:

    Article Title: Grouping signals in primate visual cortex.
    Article Snippet: Latencies for the difference functions (Figure 4C) were defined as the time point when the function crossed the value halfway between the baseline (defined as the average value during the first 10 ms) and the peak, estimated using linear interpolation (MATLAB function interp1).

    Article Title: Accelerating multipool CEST MRI of Parkinson's disease using deep learning-based Z-spectral compressed sensing.
    Article Snippet: 1Department of Electronic Science, Fujian Provincial Key Laboratory of Plasma and Magnetic Resonance, School of Electronic Science and Engineering, National Model Microelectronics College, Xiamen University, Xiamen, China 2Institute of Artificial Intelligence, Xiamen University, Xiamen, China 3Department of Radiology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China 4Clinical & Technical Supports, Philips Healthcare, Beijing, China 5Key Laboratory for Magnetic Resonance and Multimodality Imaging of Guangdong Province, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China 6Department of Diagnostic Radiology, The University of Hong Kong, Hong Kong, China

    Article Title: Comparison of electrical microstimulation artifact removal methods for high-channel-count prostheses.
    Article Snippet: The Linear interpolation method identified the beginning and the end of the artifact waveform evoked by each stimulation pulse and replaced the data between these two points using Linear interpolation (using the Matlab function ‘interp1’).

    Article Title: Analysis of the temporal and spatial evolution of turbidity in Tonle Sap Lake and its influencing factors.
    Article Snippet: • Completely constructed the turbidity data of Tonle Sap Lake from 2004 to

    Article Title: Fast phase matching based on order partition with sub-pixel accuracy
    Article Snippet: Structured light is a method of 3D imaging that involves projecting a sequence of striped or structured patterns onto a target scene and then, based on the warping of stripes across a target surface, a camera can reconstruct the target.. For practical reasons relating to changing lens parameters for the projector, binocular structured light improves over monocular structured by performing triangulation between two cameras, using the striped patterns to solve the correspondence matching problem; however, the speed at which these correspondences are found is still an active area of research.. And in this paper, we propose a fast-matching algorithm that enhances phase labeling and introduces the concept of triangle plane interpolation based on linear interpolation.

    Article Title: Ensemble deep learning-enabled single-shot composite structured illumination microscopy (eDL-cSIM)
    Article Snippet: The intensity profiles in Figs. 3, 4 and 5, and Supplementary Figs. S11-S13 and S15-S17 are interpolated by linear interpolation in MATLAB.

    Article Title: A machine learning approach for identifying anatomical biomarkers of early mild cognitive impairment
    Article Snippet: In the following analyses, we used linear interpolation (MATLAB script: ‘poly11’) to calculate both residual and z -score harmonization, considering all the features extracted from the Freesurfer’s pipeline.

    Sampling:

    Article Title: Cell body targeted sensors
    Article Snippet: .. Interpolation was performed with a constant sampling interval of 50 ms (20 Hz) using linear interpolation (“interp1” in MATLAB). d) Computation of Df/f0 and Linear Detrending for Mouse In-Vivo Experiments: After interpolating the traces from GCaMP6f sessions, df/f0 values were computed for each trace by subtracting its mean and dividing by its initial fluorescence. .. Each trace was then subject to a linear detrending using the MATLAB command “detrend”.

    In Vivo:

    Article Title: Cell body targeted sensors
    Article Snippet: .. Interpolation was performed with a constant sampling interval of 50 ms (20 Hz) using linear interpolation (“interp1” in MATLAB). d) Computation of Df/f0 and Linear Detrending for Mouse In-Vivo Experiments: After interpolating the traces from GCaMP6f sessions, df/f0 values were computed for each trace by subtracting its mean and dividing by its initial fluorescence. .. Each trace was then subject to a linear detrending using the MATLAB command “detrend”.

    Fluorescence:

    Article Title: Cell body targeted sensors
    Article Snippet: .. Interpolation was performed with a constant sampling interval of 50 ms (20 Hz) using linear interpolation (“interp1” in MATLAB). d) Computation of Df/f0 and Linear Detrending for Mouse In-Vivo Experiments: After interpolating the traces from GCaMP6f sessions, df/f0 values were computed for each trace by subtracting its mean and dividing by its initial fluorescence. .. Each trace was then subject to a linear detrending using the MATLAB command “detrend”.



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