Opticomlib is an open source Python package for optical communications research. It is oriented to engineers who want to simulate optical communication systems using Python. The package provide binary_sequence, electrical_signal, optical_signal, and eye objects with methods for signal processing and visualization integrated with numpy, scipy, and matplotlib libraries for frendly use. The package also provide a set of electro-optic devices as MZM, FIBER, PD, EDFA, and much more.

• Opticomlib Documentation: https://armando-palacio.github.io/opticomlib
• Opticomlib Repository: https://github.com/armando-palacio/opticomlib.git
• Bug reports: https://github.com/armando-palacio/opticomlib/issues
• Contributing: CONTRIBUTING.md

Features

• Electro-optic devices: most common electro-optic devices are implemented in the package (opticomlib.devices):

  • PRBS: Pseudo Random Binary Sequence Generator
  • DAC: Digital to Analog Converter
  • ADC: Analog to Digital Converter
  • PM: Phase Modulator
  • MZM: Mach-Zehnder Modulator (intensity modulator)
  • FIBER: Optical Fiber
  • DM: Pure Dispersive Medium
  • PD: Photodetector
  • EDFA: Erbium Doped Fiber Amplifier
  • SAMPLER: electrical sampler
  • LPF: Low Pass Filter
  • BPF: Band Pass Filter
  • GET_EYE: Eye Diagram parameters estimator
  • FBG: Fiber Bragg Grating
  • ... and more in the future

• Modulation formats: modulations are implemented in separate modules, with their own functionalities:

  • OOK: On-Off Keying (opticomlib.ook)
  • PPM: Pulse Position Modulation (opticomlib.ppm)
  • ... and more in the future

• Objects types: methods for signal processing and visualization are integrated in the following objects:

  • binary_sequence: object for binary sequences
  • electrical_signal: object for electrical signals
  • optical_signal: object for optical signals
  • eye: object for eye diagrams

• Laboratory utilities: framework for communication with laboratory equipment and post-processing of data (opticomlib.lab).

Installation

You can install opticomlib using pip:

pip install opticomlib

or from source code:

pip install git+https://github.com/armando-palacio/opticomlib.git

License

This project is licensed under the terms of the MIT license.

Contact

If you wish to contact me you can do so at [email protected].