scholarly journals An Improved Blind Recognition Method for Synchronization Position and Coding Parameters of k/n Rate Convolutional Codes in a Noisy Environment

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 171305-171315
Author(s):  
Yong Ding ◽  
Zhiping Huang ◽  
Jing Zhou
Keyword(s):  
Convolutional Codes ◽  
Noisy Environment ◽  
Recognition Method ◽  
Blind Recognition

Target recognition method based on single-pixel imaging system and deep learning in the noisy environment

2020 ◽  
Vol 49 (6) ◽  
pp. 20200010
Author(s):  
石峰 Feng Shi ◽  
陆同希 Tongxi Lu ◽  
杨书宁 Shuning Yang ◽  
苗壮 Zhuang Miao ◽  
杨晔 Ye Yang ◽  
...  
Keyword(s):  
Deep Learning ◽  
Imaging System ◽  
Target Recognition ◽  
Noisy Environment ◽  
Recognition Method ◽  
Single Pixel

Blind Recognition of Reed-Solomon Codes Based on Histogram Statistic of Galois Field Spectra

2013 ◽  
Vol 791-793 ◽  
pp. 2088-2091
Author(s):  
Hui Xie ◽  
Feng Hua Wang ◽  
Zhi Tao Huang
Keyword(s):  
Reverse Engineering ◽  
Error Rate ◽  
Communication System ◽  
Spectral Characteristics ◽  
Galois Field ◽  
Probability Of Detection ◽  
Noisy Environment ◽  
Engineering Communication ◽  
Rs Code ◽  
Blind Recognition

We focus on the recognition of RS code in a reverse-engineering communication system, and an algorithm based on spectral statistic is proposed, which makes use of the spectral characteristics of RS code. When there are some codes with errors in the observations, the spectral histogram statistic is computed, which can improve the probability of detection in the noisy environment. Experimental results are given to illustrate the performances of the method which can get a 90% probability of detection of (255, 223) RS code in the presence of 0.5% code error rate.

Blind Recognition of Recursive System Convolutional Codes

2014 ◽  
Vol 631-632 ◽  
pp. 816-819
Author(s):  
Jie Liu ◽  
Li Min Zhang ◽  
Zhao Gen Zhong
Keyword(s):  
Mathematical Model ◽  
Turbo Codes ◽  
Convolutional Codes ◽  
Recursive System ◽  
Novel Method ◽  
Simulation Results ◽  
Specific Implementation ◽  
The Mathematical Model ◽  
Blind Recognition ◽  
Implementation Steps

Recursive system convolutional codes (RSC codes) are the commonly used coding form for Turbo sub-encoders. For blind recognition problem of RSC codes, a novel method is proposed to recognize code parameters and generator polynomials. Firstly, code parameters are estimated by analyzing matrix constructed from the received codeword. Then, the mathematical model for recognition of generator polynomials is derived according to RSC codes’ characteristics, and the specific implementation steps are introduced. Finally, simulation results from Matlab show that the performance of the method is obviously more excellent than other methods, which indicates great significance to further research on Turbo codes.

scholarly journals An Improved Blind Recognition Method of the Convolutional Interleaver Parameters in a Noisy Channel

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 101775-101784 ◽  
Author(s):  
Yiyao Xu ◽  
Yang Zhong ◽  
Zhiping Huang
Keyword(s):  
Noisy Channel ◽  
Recognition Method ◽  
Blind Recognition
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