shresthasagar/Deep-SC
spectrum cartography via a mix of model-based and deep learning aided method.
This project helps operations engineers and signal processing specialists complete radio maps when data is sparse or incomplete. It takes in partial radio map tensors, which represent signal strength across different locations and frequencies, and outputs a complete, estimated radio map. This tool is for professionals who need accurate radio frequency distribution information for planning, optimization, or analysis.
No commits in the last 6 months.
Use this if you need to accurately reconstruct full radio frequency maps from limited or missing data points to understand signal distribution.
Not ideal if you are looking for a plug-and-play application, as it requires familiarity with Python, MATLAB, and machine learning model training.
Stars
11
Forks
4
Language
MATLAB
License
—
Category
Last pushed
Aug 26, 2023
Commits (30d)
0
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