Next Article in Journal
Optimal Digital Implementation of Fractional-Order Models in a Microcontroller
Previous Article in Journal
Research on the Node Importance of a Weighted Network Based on the K-Order Propagation Number Algorithm
 
 
Article
Peer-Review Record

Some Remarks about Entropy of Digital Filtered Signals

by Vinícius S. Borges 1, Erivelton G. Nepomuceno 1,*, Carlos A. Duque 2 and Denis N. Butusov 3
Reviewer 1:
Reviewer 2: Anonymous
Submission received: 10 February 2020 / Revised: 5 March 2020 / Accepted: 17 March 2020 / Published: 23 March 2020
(This article belongs to the Section Information Theory, Probability and Statistics)

Round 1

Reviewer 1 Report

File

Comments for author File: Comments.pdf

Author Response

Please see file attached.

Author Response File: Author Response.pdf

Reviewer 2 Report

The paper presents some numerical concerning the entropy of digital filtered signals. The presented results seem simple and correct. 

My main suggestion are:

1. The authors should clearly explain in the beginning of the text why a higher or lower entropy in the filtered signal matters. Why this knowledge is useful in projecting a digital filter?

2. The results in Tables 3-6 are deterministic? What is the precision in the results? Standard deviations should be presented together with the main value (XX ± XX) so that one can compare the entropy diferences between word lengths.

As minor remarks:

  1. There are many typos and bad-written sentences along the text. It must be thoroughly revised.
  2. There are typos in equations. See for instance, eq. (12) and Table 2.

Author Response

Please report to attached file.

Author Response File: Author Response.pdf

Round 2

Reviewer 1 Report

The authors of the manuscript entitled “Some remarks about entropy of digital filtered signals” succeeded to shiftily address all the suggestions that I had in my first round of the review processed.

The manuscript details now properly the numerical experiments and explains the obtained results.

The resulted paper is valuable and makes a real service to authors' research work.

Back to TopTop