Signal Processing Methods of Enhanced Magnetic Memory Testing

Round 1

Reviewer 1 Report

1. The introduction section should be improved taking into account more relevant studies on signal processing method to build a complete scientific framework. Such as LMD, CEEMD, VMD et al.

2. Related works about the application of the above signal processing method can be discussed in introduction section to improve the motivation, such as (1) Mine-Microseismic-Signal Recognition Based on LMD–PNN Method; (2)Elevator Car Vibration Signal Denoising Method Based on CEEMD and Bilateral Filtering; (3)Research on Fault Feature Extraction Method Based on Parameter Optimized Variational Mode Decomposition and Robust Independent Component Analysis.

3.In Introduction, the author should focus on the highlights of the proposed method and what problems have been solved. such as (1)(2)(3).

 4. It is suggested that the author add a flow chart in Section 5 to show the general flow of the proposed method.

 5. The description of the experimental process is relatively simple, and it is recommended to add the detailed description of the experimental process and the description of the relevant results.

Author Response

Please see the attachment.

Author Response File: Author Response.docx

Reviewer 2 Report

In this submission, a signal processing method of enhanced magnetic memory testing based on EMD and wavelet threshold combination has been proposed. The manuscript analyzes the effect of enhanced metal magnetic memory testing method on improving the SNRs of obtained signal and the gradient signal through comparative experiments.

The manuscript uses the wavelet threshold method and EMD method to denoise the obtained signal, and analyzes the denoising effect of EMD-wavelet threshold method. The experimental results show that all three methods can effectively remove the interrupting noise in the detected signal and wavelet threshold denoising method is the best and EMD-threshold denoising method is the second best. However, the experimental results of the proposed EMD-threshold denoising method are not as good as wavelet threshold denoising method. Please describe its advantages.

In addition to the above problems, the manuscript has the following problems:

1）The proposed method based on EMD and wavelet threshold simply combines two existing methods, and it is not innovative enough.

2）The content of the introduction part is not detailed enough, and it is recommended that the authors supplement more relevant studies on the subject to build a complete scientific framework.

3）There are few experimental comparison methods in the manuscript, which cannot effectively prove the advantages of the proposed method. More noise reduction methods proposed should be used to compare with the methods proposed in the manuscript.

4）Are there limitations of the proposed method? I suggest that the authors add content explaining the limitations of the method and how to solve these problems in the future.

Author Response

Please see the attachment.

Author Response File: Author Response.docx

Round 2

Reviewer 2 Report

All my questions have been properly concerned in the revised manuscript，so I suggest its publication in the journal.