stddev_outer()
Computes the stddev across the outer dimension of two-dimensional data
Syntax
y = stddev_outer(x, flag)
Arguments
| Name | Description | Range | Type | Default | Required |
|---|---|---|---|---|---|
| data | data to find the stddev | (-∞, ∞) | real | yes | |
| flag | indicates how stddev normalizes | [0, 1]† | integer | 0 | no |
| † When flag equals 0, the stddev normalizes by N-1, where N is the length of the data sequence. Otherwise, stddev normalizes by N | |||||
Examples
a = stddev_outer(data)
a = stddev_outer(data, 1)
Defined In
$HPEESOF_DIR/expressions/ael/statistical_fun.ael
See Also
fun_2d_outer(), max_outer(), mean_outer(), min_outer()
Notes/Equations
The stddev_outer() function operates on the inner dimension of two-dimensional data. This function just calls the fun_2d_outer function, with stddev being the applied operation. As an example, assume that a Monte Carlo simulation of an amplifier was run, with 151 random sets of parameter values, and that for each set the S-parameters were simulated over 26 different frequency points. S21 becomes a [151 Monte Carlo iteration X 26 frequency] matrix, with the inner dimension being frequency, and the outer dimension being Monte Carlo index. Now, assume that it is desired to know the stddev value of the S-parameters at each frequency. Inserting an equation stddev(S21) computes the stddev value of S21 at each Monte Carlo iteration. If S21 is simulated from 1 to 26 GHz, it computes the stddev value over this frequency range, which usually is not very useful. Inserting an equation stddev_outer(S21) computes the stddev value of S21 at each Monte Carlo frequency.
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