Generalized Asymmetric Correntropy for Robust Adaptive Filtering: A Theoretical and Simulation Study
, Jihong Zhao 2,3, Shuyuan Zhao 4, Taihao Li 4 and Pengcheng Yue 2,4,*
Round 1
Reviewer 1 Report
This paper proposed the GMACC to build the cost function of robust adaptive filtering, and the corresponding steady-state performance of the adaptive filter is theoretically studied and verified by some simulations.
Minors
Above (9), the authors mentioned “ … maximize the cost function 9”. Then the authors mentioned “We use gradient descent method to solve the problem 9”.
“gradient descent”, should be “gradient ascent”?
Author Response
Thanks for your kind reminder and here is our response. For preciseness, we changed the discription to “gradient ascent” according to your comment.
Reviewer 2 Report
The content of the article is consistent with the scientific area of the journal Remote Sensing. The subject raised by the authors is current and so far rarely noticed by other authors publishing in this area.
The issue described may in the future contribute to improving the efficiency of the automation, generalized maximum or robust adaptive filtering and steady-state performance analysis.
The paper has an original, scientific character, related to generalized asymmetric correntropy for robust adaptive filtering.
The authors accepted the comments, I recommend the paper to be published.
Author Response
Thank you for your affirmation. The suggestions of the reviewers in the process of submission are really helpful for the enhancement of this article. Thank you for your comment.
