Asset Details
Do you wish to reserve the book?
Blind recognition of sparse parity‐check matrices of low‐density parity‐check codes in the presence of noise
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
Blind recognition of sparse parity‐check matrices of low‐density parity‐check codes in the presence of noise
Do you wish to request the book?
Blind recognition of sparse parity‐check matrices of low‐density parity‐check codes in the presence of noise
Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
Journal Article
Blind recognition of sparse parity‐check matrices of low‐density parity‐check codes in the presence of noise
2023
Overview
This paper studies the blind recognition method of the sparse parity‐check matrices of low‐density parity‐check codes in noncooperative communication, which is critical to the reverse analysis of communication protocols using LDPC codes. In this paper, two improvements are made to the algorithm of Liu Qian et al. (2021) for this problem. Firstly, a Gaussian elimination method based on random column exchange and soft information is proposed to enhance the fault tolerance of the elimination process. Secondly, according to the sparse property of the parity‐check matrices of LDPC codes, a random extraction method is proposed to further improve the fault tolerance of the algorithm, and it is verified theoretically. Finally, simulations verify the superior performance of the algorithm proposed in this paper. This paper studies the blind recognition method of the sparse parity‐check matrices of low‐density parity‐check (LDPC) codes in noncooperative communication, which is critical to the reverse analysis of communication protocols using LDPC codes.
Publisher
John Wiley & Sons, Inc,Wiley
