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A collection of signal analysis functions related to complexity, chaos and causality. Optimised for realtime signal processing.

License: MIT License

Shell 0.18% JavaScript 0.05% C++ 84.04% Python 0.09% C 2.77% Fortran 9.07% SuperCollider 0.01% XSLT 0.05% CSS 0.04% Cuda 1.06% HTML 0.13% CMake 2.51%

libcccrt's Introduction

libcccrt

A collection of signal analysis functions related to complexity, chaos and causality. Optimised for realtime signal processing.

Features:

  • Algorithms for measuring dynamical complexity using Effort to Compress, Lempel-Ziv Complexity, Sevcik Fractal Dimension, Random Projection Complexity
  • Python module (3.x)
  • SuperCollider UGen for RPC

Related papers:

Kiefer, C. 2023. Dynamical complexity measurement with random projection: a metric optimised for realtime signal processing. Sound and Music Computing, Stockholm, Sweden, 12-17 June 2023. (http://sro.sussex.ac.uk/id/eprint/111991/1/smc2023%20RPC_final.pdf)

Kiefer, C., Overholt, D. and Eldridge, A., 2020. Shaping the behaviour of feedback instruments with complexity-controlled gain dynamics. In 20th International Conference on New Interfaces for Musical Expression (pp. 343-348). (https://vbn.aau.dk/ws/files/395237786/nime2020_paper66.pdf)

libcccrt's People

Contributors

chriskiefer avatar elgiano avatar

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