mean_outer()

Computes the mean across the outer dimension of two-dimensional data

Syntax
y = mean_outer(data)

Argument

Name	Description	Range	Type	Required
data	2-dimensional data to find mean	(-∞, ∞)	integer, real, complex	yes

Examples

a = mean_outer(data)

Defined in

$HPEESOF_DIR/expressions/ael/statistcal_fun.ael

See Also

fun_2d_outer(), max_outer(), min_outer()

Notes/Equations

The mean function operates on the inner dimension of two-dimensional data. The mean_outer function just calls the fun_2d_outer function, with mean 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 mean value of the S-parameters at each frequency. Inserting an equation mean(S21) computes the mean value of S21 at each Monte Carlo iteration. If S21 is simulated from 1 to 26 GHz, it computes the mean value over this frequency range, which usually is not very useful. Inserting an equation mean_outer(S21) computes the mean value of S21 at each Monte Carlo frequency.