Comments: download file (cintal_rep).
Ref.: SiPLAB Report 03/19, SiPLAB, University of Algarve, October 2019.
(revised December 28, 2020).
Abstract
This document briefly describes the background on power spectrum estimation
using well known reference books and texts. Reference definitions are then
implemented into Matlab using discrete functions and matched to widely used
Matlab routines and other reference texts. Basic simulations and respective
codes are given to illustrate the various cases.
In a second chapter this experience is applied in the underwater
acoustics case for producing received level estimates at discrete
frequencies from measured and modeled data both for acoustic pressure
and for particle motion, the latter being in most case not referred to
in current standards.
This report will be useful for those scientists involved in comparing
measured noise fields from place to place or over time and in
integrating that knowledge on modeled sound maps, or in whichever task
spectral power amplitude is most important.
Revision: this report was revised twice: one in February 2020, where explanations
regarding DFT usage and an example were added, and another in December 2020 where
equations (2.7)-(2.9) were made.