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bundles / scipy 1.17.1 / scipy / signal / _signaltools / vectorstrength

function

scipy.signal._signaltools:vectorstrength

source: /scipy/signal/_signaltools.py :4094

Signature

def   vectorstrength ( events period )

Summary

Determine the vector strength of the events corresponding to the given period.

Extended Summary

The vector strength is a measure of phase synchrony, how well the timing of the events is synchronized to a single period of a periodic signal.

If multiple periods are used, calculate the vector strength of each. This is called the "resonating vector strength".

Parameters

events : 1D array_like

An array of time points containing the timing of the events.

period : float or array_like

The period of the signal that the events should synchronize to. The period is in the same units as events. It can also be an array of periods, in which case the outputs are arrays of the same length.

Returns

strength : float or 1D array

The strength of the synchronization. 1.0 is perfect synchronization and 0.0 is no synchronization. If period is an array, this is also an array with each element containing the vector strength at the corresponding period.

phase : float or array

The phase that the events are most strongly synchronized to in radians. If period is an array, this is also an array with each element containing the phase for the corresponding period.

Notes

Array API Standard Support

vectorstrength has experimental support for Python Array API Standard compatible backends in addition to NumPy. Please consider testing these features by setting an environment variable SCIPY_ARRAY_API=1 and providing CuPy, PyTorch, JAX, or Dask arrays as array arguments. The following combinations of backend and device (or other capability) are supported.

====================  ====================  ====================
Library               CPU                   GPU
====================  ====================  ====================
NumPy                 ✅                     n/a                 
CuPy                  n/a                   ✅                   
PyTorch               ✅                     ✅                   
JAX                   ⚠️ no JIT
Dask                  ⚠️ computes graph     n/a                 
====================  ====================  ====================

See dev-arrayapi for more information.

Aliases

  • scipy.signal.vectorstrength

Referenced by

This package