Recurrence Plot – A recurrence plot (RP) is an advanced technique of nonlinear data analysis. It is a visualisation (or a graph) of a square matrix, in which the matrix elements correspond to those times at which a state of a dynamical system recurs (columns and rows correspond then to a certain pair of times).

1. Install requirements:

Ensure you have Python 3 installed. Install the required dependencies using:

pip install -r requirements.txt

2. Run example.py script:

python3 example.py # or python example.py

This will:

• Generate a random signal.
• Smooth the signal using a moving average filter.
• Compute and visualize the recurrence plot.
• Save the resulting plot as results/1D_to_2D.jpg.

If you want to use the recurrence package in your own projects:

1. Import the Required Modules:

   For recurrence plot functions, import from recurrence.plotting. For signal processing utilities, import from recurrence.convolve.

   Example:

   from recurrence.plotting import setup_plot, save_plot
   from recurrence.convolve import calculate_convolve

2. Process Your Signal:

   Use calculate_convolve to smooth your input signal, then use the setup_plot and save_plot functions to generate and save recurrence plots.