How to understand Narrow Band Deviation？

[ambition]

Can anyone tell me how to understand Narrow Band Deviation？

I've been studying this paper recently:"A Multiple Regression Model for Predicting Loudspeaker Preference Using Objective Measurements: Part II - Development of the Model"，authored by Sean E. Olive.

In this paper, there is a formula about NBD，it's hard for me to understand.I don’t understand the meaning of ’yb‘ inside this equation，what does ’band b‘ refer to？

Can anyone provide specific examples to help illustrate this?

Many thanks.

 

[NTK]

Just noticed that you asked this question several months ago.
Here is a snip of the Python code used to calculate the score reported in the spinorama.org website.
The measurements used in the study are in 1/20-odtave resolution. Basically the "y_b" are amplitude values of each of the 1/20-octave bands, and is the reason for the statement you see in the paper: "The mean absolute deviation within each 1/2-octave band is based (on) a sample of 10 equally log-spaced data points."

 

[ambition]

Just noticed that you asked this question several months ago.
Here is a snip of the Python code used to calculate the score reported in the spinorama.org website.
The measurements used in the study are in 1/20-odtave resolution. Basically the "y_b" are amplitude values of each of the 1/20-octave bands, and is the reason for the statement you see in the paper: "The mean absolute deviation within each 1/2-octave band is based (on) a sample of 10 equally log-spaced data points."

View attachment 404211

thank you！