Harmonic Elimination and Magnetic Resonance Sounding Signal Extraction Based on Matching Pursuit Algorithm

Round 1

Reviewer 1 Report

This paper proposed a novel matching pursuit algorithm to denoise the magnetic resonance sounding. The experimental result in this article also demonstrates its effectiveness. How does this algorithm perform when compared to the empirical wavelet method? 

Author Response

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Author Response File: Author Response.pdf

Reviewer 2 Report

In this work, authors have proposed an algorithm for data noise suppression and MRS signal extraction.  For extraction of the MRS signal, a two-step denoising strategy is proposed to   reconstruct the power-line harmonics. Simulations are performed on synthetic data consisting different signal-to-noise ratios (SNRs), relaxation times and Larmor frequencies and it is claimed that the proposed algorithm can effectively remove power-line harmonics and reduce random noise. Organisation of paper and grammar of the paper are good.

Synthetic experiments are conducted and in topic 3.1. Algorithmic implementation is explained for where values of different parameters like sampling rate, sampling duration,  E₀, T₂ , Theta , f1 , random noise are assumed.  Discuss correctness of the same in reference to standard literature, if any. 

In different applications concepts of removal of harmonic noise and random noise under certain assumptions are commonly found. proposed work quality  should  be improved by  conducting actual experimentations to show the efficacy of algorithm with  comparable literature.

Author Response

Please see the attachment.

Author Response File: Author Response.pdf