Discrete Fourier Transform over Hexagonally Sampled Data
Updated 6 Feb 2014
Data represented on hexagonally sampled lattices have many interesting properties.
Most importantly, when a hexagonally sampled image is represented in the form of a vector, the neighboring regions in the image space are mapped to neighboring regions in the vector. Hence, the image processing takes a condensed form of 1-dimensional signal processing.
The provided codes implement the DFT and IDFT algorithms for hexagonally sampled lattices.
UJJWAL (2023). Discrete Fourier Transform over Hexagonally Sampled Data (https://www.mathworks.com/matlabcentral/fileexchange/45427-discrete-fourier-transform-over-hexagonally-sampled-data), MATLAB Central File Exchange. Retrieved .
MATLAB Release Compatibility
Platform CompatibilityWindows macOS Linux
- Signal Processing > Signal Processing Toolbox > Transforms, Correlation, and Modeling > Transforms > Discrete Fourier and Cosine Transforms >
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