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Repo containing the code where I experimented with various Burg's implementation finding the optimal solution in terms of performance and prediction quality

License: MIT License

Shell 0.04% C++ 66.98% JavaScript 8.34% CMake 1.82% Python 22.82%

burg-implementation-experiments's Introduction

burg-implementation-experiments

Repo containing the code where I experimented with various Burg's implementations

The repo is organized as follows. In the v1 directory there is all the code developed and used during the analysis of the Burg's method implementations. The scripts directory contains a series of utility scripts.

To run everythin in this repo you need

  • g++
  • cmake
  • python3
  • node

If you have any issue with anything in this repo or want to have clarifications on how to compile/run tests, please open a issue.

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