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Simulink® lets you integrate MATLAB® algorithms into a Simulink model
for C or HDL code generation. However, many MATLAB implementations of
signal processing, communications, and image processing algorithms require
some redesign to make them suitable for HDL code generation. For example,
they often use data types such as doubles, strings, and structures, and contain
control flow constructs, such as while loops and break statements, that do not
map well to hardware. Apart from these constructs, MATLAB algorithms that
operate on large data sets are not always written to take account of hardware
design characteristics like streaming and resource sharing. This submission uses
a typical software implementation of an adaptive median filter to illustrate
the process of converting MATLAB algorithms for HDL code generation.
Citation pour cette source
Kiran Kintali (2026). Adaptive Median Filter (MATLAB Code) (https://fr.mathworks.com/matlabcentral/fileexchange/30068-adaptive-median-filter-matlab-code), MATLAB Central File Exchange. Extrait(e) le .
Informations générales
- Version 1.0.0.1 (677 ko)
Compatibilité avec les versions de MATLAB
- Compatible avec toutes les versions
Plateformes compatibles
- Windows
- macOS
- Linux
| Version | Publié le | Notes de version | Action |
|---|---|---|---|
| 1.0.0.1 | Updated license |
||
| 1.0.0.0 |
