MATLAB TIPS
@MATLAB_tips
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Matlab的一些现成脚本、函数,前人写的技巧、教程、文档。 Just tricks that finally work or what have learnt through search engines.受限于个人领域和Matlab水平,诚邀频道管理者;只要在使用Matlab过程中顺手把用上的网页、帖子发上来就好,十分简单。请联系
@MatLabTipsBot
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quickly put/update all variables into/in a structure
Mathworks
quickly put/update all variables into/in a structure
very tiny function, nothing too serious. I share this one as I thought it may helpful for people who like tidy code
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DT QP Project
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DT QP Project
Solves linear-quadratic dynamic optimization using direct transcription and quadratic programming
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Goldberg polyhedron
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Goldberg polyhedron
This program makes Goldbergs Polyhedron (Geodesic Sphere of Hex and Pentagons) of given order n.
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point to line distance
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point to line distance
calculate the distance between a 2D or 3D line and one or more points
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Introduction to FEM
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Introduction to FEM
FEM examples
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Iso2Mesh
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Iso2Mesh
Iso2Mesh - a 3D surface and volumetric mesh generator for MATLAB/Octave
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Second-order transient-extracting transform
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Second-order transient-extracting transform
Second-order transient-extracting transform for the analysis of impulsive-like signals
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findND
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findND
find for 3D or ND
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BlandAltmanPlot
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BlandAltmanPlot
Create a Bland-Altman plot and return a struct with results and handles.
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maximize
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maximize
Maximize the figure window (multiple strategies implemented)
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isnetavl
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isnetavl
Check for an internet connection by pinging one of Google's DNSes
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WindowLevel
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WindowLevel
Enable setting the window level (contrast and brightness) by dragging
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ifversion
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ifversion
Determine if the current version satisfies a version restriction
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spider_plot
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spider_plot
Create a spider or radar plot with individual axes.
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Essential Matrix Estimation
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Essential Matrix Estimation
Compute the essential matrix from a set of corresponding image projections
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J211 Compliant filter
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J211 Compliant filter
Calculate filter coefficients & filter signals in accordance with SAE-J211.
-Phaseless
-2 pole Butterworth IIR
-Adjustable corner
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Explainable AI: interpreting the classification using LIME
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Explainable AI: interpreting the classification using LIME
This demo shows how to interpret the classification by CNN using LIME (Local Interpretable Model-agnostic Explanations) [1]. LIMEによる特徴量の可視化
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Image classification using CNN with mixup data augmentation
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Image classification using CNN with mixup data augmentation
This demo shows how to perform a data augmentation method called mix-up/random paring for image classification using CNN
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ObjectFinder
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ObjectFinder
Recognize 3D structures in volumetric images
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The COnstraint-Based Reconstruction and Analysis Toolbox
Mathworks
The COnstraint-Based Reconstruction and Analysis Toolbox
Creation and analysis of biochemical constraint-based models: the COBRA Toolbox v3.0
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