Utilities

Signal Processing

pathbench.utils.normalise_signal(x, method)

Normalise signal to RMS or zero mean

Parameters:

• x – signal

• method – Method to use for normalisation

Returns:

pathbench.utils.moving_average_filtering(x, N=5)

pathbench.utils.write_correlation_table(output_file, results, metrics)

Writes a markdown-style summary table of PCC results.

Parameters:

• output_file – file-like object

• results (dict) – dataset_dir -> {‘pcc_<metric>’: float}

• metrics (list) – ordered list of metric names (without ‘pcc_’ prefix)

Text Normalisation

pathbench.string_clean.clean_text(text)

A function to clean text by: 1. Lowercasing 2. Removing punctuation 3. Removing multiple spaces 4. Stripping whitespace

Return type:

str