m-thesis-introduction/lib/util.py

38 lines
838 B
Python

"""
Various useful utilities (duh)
"""
import numpy as np
def sampled_time(sample_rate=1, start=0, end=1, offset=0):
return offset + np.arange(start, end, 1/sample_rate)
def rot_vector(phi1=0.12345):
"""
Return a unit vector rotated by phi radians.
"""
unit = np.array([
phi1,
phi1 - np.pi/2
])
return np.cos(unit)
def detect_edges(threshold, data, rising=True, falling=False):
"""
Detect rising/falling edges in data, returning the indices
of the detected edges.
https://stackoverflow.com/a/50365462
"""
mask = np.full(len(data)-1, False)
if rising:
mask |= (data[:-1] < threshold) & (data[1:] > threshold)
if falling:
mask |= (data[:-1] > threshold) & (data[1:] < threshold)
return np.flatnonzero(mask)+1