`average_rectified_value`

Calculates the average rectified value.

Syntax


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average_rectified_value(x)

Description


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m = average_rectified_value(x)

In electrical engineering, the average rectified value is the average of its absolute value.

That is,

X_{ARV} = \frac{1}{n} \sum_{i = 1}^{n} | x_{i} |

$x_i,i=1,2,\cdots,n$ $i$ -th observed value.

Examples


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>>> from OpenHA.processing.feature import average_rectified_value
>>> import numpy as np

>>> x = np.array([0, 1, 2, 3, 4])
>>> print(average_rectified_value(x))

2.0

Input Arguments

x —— A 1-D array of observations of length n, namely n observations of a quantity.

Properties of Arguments

Name of the parameters	Is optional?	Source, dialog or input port?
`x`	No	Input port