Gaussian Filter, values and spectral analysis

Determine Gaussian 2D digital filters, determine integer and floating values. Analyse spectral behavior. Verify with artifical images.

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Updated 23 Dec 2022

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Purpose:
Determine Gaussian 2D digital filters with integer numbers and sums=2^n , n is integer. The filters are designed especially for FPGA. Divisions may be replaced by much faster shift operations.
Features:
Create 2D Gaussian filters with following properties:
  • Expose full digital filters that have a sum of 2n , with n as integer number.
  • Create also floating numbers filter.
  • Determine optimal filter by spectrum.
  • Plot spectral properties.
  • See results on artificial images.

Cite As

Peter Seibold (2020). Gaussian Filter, values and spectral analysis, MATLAB Central File Exchange. Retrieved December, 2022

MATLAB Release Compatibility
Created with R2016a
Compatible with any release
Platform Compatibility
Windows macOS Linux

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Version Published Release Notes
3.0.1

Changed title

3.0.0

Deep spectral analysis included

2.0.0.1

For some reason the image of this page was not updated.

2.0.0.0

New method: calculate filter coefficients by Gaussian volume, see explanation.pdf.

1.0.0.0