conv2d using image filter

this Simulink model takes the advantage of image filter from Vision HDL Toolbox to achieve convolution function

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This Simulink model takes the advantage of image filter from Vision HDL Toolbox to achieve convolution function.
The input feature map has 3 channels and output feature map has 6 channels. All the weights and biases are stored as constant. This could be replaced by Lookup Table in case of looply use.

Cite As

Lin Bai (2026). conv2d using image filter (https://se.mathworks.com/matlabcentral/fileexchange/69953-conv2d-using-image-filter), MATLAB Central File Exchange. Retrieved .

General Information

MATLAB Release Compatibility

  • Compatible with any release

Platform Compatibility

  • Windows
  • macOS
  • Linux
Version Published Release Notes Action
1.0.0