Feed Forward AGC: Difference between revisions
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Non-causal AGC which computes required gain based on max absolute value over N samples. | Non-causal AGC which computes required gain based on max absolute value over N samples. | ||
Latest revision as of 14:22, 1 April 2025
Non-causal AGC which computes required gain based on max absolute value over N samples.
Parameters
(R): Run-time adjustable
- Num samples
- Number of samples to look ahead
- Reference
- Reference value to adjust signal power to
Example Flowgraph
Insert description of flowgraph here, then show a screenshot of the flowgraph and the output if there is an interesting GUI. Currently we have no standard method of uploading the actual flowgraph to the wiki or git repo, unfortunately. The plan is to have an example flowgraph showing how the block might be used, for every block, and the flowgraphs will live in the git repo.
Source Files
- C++ files
- Here
- Header files
- Here
- Public header files
- Here
- Block definition
- Yaml