.. _signal_properties-label:

Details on the Time and Frequency Domain Data Properties
========================================================
The Signal Processing Tool provides various methods to compute time and frequency domain data properties of signals.

Power Spectral Density (PSD)
----------------------------
The method
:py:meth:`~haskoning_atr_tools.signal_processing_tool.frequency_domain.data.FrequencyDomainData.get_power_density`
computes the Power Spectral Density of a signal. The PSD provides insight in the power distribution across the
frequencies of the signal.

.. code-block:: python

   frequency_domain_data.get_power_density()

Energy Spectral Density (ESD)
-----------------------------
The method
:py:meth:`~haskoning_atr_tools.signal_processing_tool.frequency_domain.data.FrequencyDomainData.get_energy_density`
computes the Energy Spectral Density of a signal. The ESD provides insight in the power distribution across the
frequencies of the signal.

.. code-block:: python

   frequency_domain_data.get_energy_density()

SBR-B RMS Calculation
---------------------
The method
:py:meth:`~haskoning_atr_tools.signal_processing_tool.time_domain.data.TimeDomainData.perform_sbr_b_rms` calculates
SBR-B Root Mean Square (RMS) values from time-domain vibration data, following the Dutch SBR-B guideline for assessing
nuisance in buildings. More information on the SBR guideline can be found :ref:`here <sbr-label>`.

.. code-block:: python

   sbr_b_rms_values = time_domain_data.perform_sbr_b_rms()

The SBR-B provides limit values against which the calculated RMS values can be compared to assess the structure
vibrations.