The parallel decoding method of a parallel concatenation of multiple codes is well known. In this paper, we present a new serial decoding method. The iterative gain in this method is always one. Therefore, this method...The parallel decoding method of a parallel concatenation of multiple codes is well known. In this paper, we present a new serial decoding method. The iterative gain in this method is always one. Therefore, this method does not need optimization of the iterative gain by using simulated annealing like the parallel decoding method. Though it is simpler than the parallel decoding method in calculation, it gives the same performance. We also use Pearl's propagation algorithm to show the appropriateness of the serial decoding method.展开更多
DNA storage is a new digital data storage technology based on specific encoding and decoding methods between 0 and 1 binary codes of digital data and A-T-C-G quaternary codes of DNAs,which and is expected to develop i...DNA storage is a new digital data storage technology based on specific encoding and decoding methods between 0 and 1 binary codes of digital data and A-T-C-G quaternary codes of DNAs,which and is expected to develop into a major data storage form in the future due to its advantages(such as high data density,long storage time,low energy consumption,convenience for carrying,concealed transportation and multiple encryptions).In this review,we mainly summarize the recent research advances of four main encoding and decoding methods of DNA storage technology:direct mapping method between 0 and 1 binary and A-T-C-G quaternary codes in early-stage,fountain code for higher logical storage density,inner and outer codes for random access DNA storage data,and CRISPR mediated in vivo DNA storage method.The first three encoding/decoding methods belong to in vitro DNA storage,representing the mainstream research and application in DNA storage.Their advantages and disadvantages are also reviewed:direct mapping method is easy and efficient,but has high error rate and low logical density;fountain code can achieve higher storage density without random access;inner and outer code has error-correction design to realize random access at the expense of logic density.This review provides important references and improved understanding of DNA storage methods.Development of efficient and accurate DNA storage encoding and decoding methods will play a very important and even decisive role in the transition of DNA storage from the laboratory to practical application,which may fundamentally change the information industry in the future.展开更多
Increasing research has focused on semantic communication,the goal of which is to convey accurately the meaning instead of transmitting symbols from the sender to the receiver.In this paper,we design a novel encoding ...Increasing research has focused on semantic communication,the goal of which is to convey accurately the meaning instead of transmitting symbols from the sender to the receiver.In this paper,we design a novel encoding and decoding semantic communication framework,which adopts the semantic information and the contextual correlations between items to optimize the performance of a communication system over various channels.On the sender side,the average semantic loss caused by the wrong detection is defined,and a semantic source encoding strategy is developed to minimize the average semantic loss.To further improve communication reliability,a decoding strategy that utilizes the semantic and the context information to recover messages is proposed in the receiver.Extensive simulation results validate the superior performance of our strategies over state-of-the-art semantic coding and decoding policies on different communication channels.展开更多
文摘The parallel decoding method of a parallel concatenation of multiple codes is well known. In this paper, we present a new serial decoding method. The iterative gain in this method is always one. Therefore, this method does not need optimization of the iterative gain by using simulated annealing like the parallel decoding method. Though it is simpler than the parallel decoding method in calculation, it gives the same performance. We also use Pearl's propagation algorithm to show the appropriateness of the serial decoding method.
基金supported by the National key research and development program(Grant No.2020YFA0907000)the National Natural Science Foundation of China(Grant No.31971389).
文摘DNA storage is a new digital data storage technology based on specific encoding and decoding methods between 0 and 1 binary codes of digital data and A-T-C-G quaternary codes of DNAs,which and is expected to develop into a major data storage form in the future due to its advantages(such as high data density,long storage time,low energy consumption,convenience for carrying,concealed transportation and multiple encryptions).In this review,we mainly summarize the recent research advances of four main encoding and decoding methods of DNA storage technology:direct mapping method between 0 and 1 binary and A-T-C-G quaternary codes in early-stage,fountain code for higher logical storage density,inner and outer codes for random access DNA storage data,and CRISPR mediated in vivo DNA storage method.The first three encoding/decoding methods belong to in vitro DNA storage,representing the mainstream research and application in DNA storage.Their advantages and disadvantages are also reviewed:direct mapping method is easy and efficient,but has high error rate and low logical density;fountain code can achieve higher storage density without random access;inner and outer code has error-correction design to realize random access at the expense of logic density.This review provides important references and improved understanding of DNA storage methods.Development of efficient and accurate DNA storage encoding and decoding methods will play a very important and even decisive role in the transition of DNA storage from the laboratory to practical application,which may fundamentally change the information industry in the future.
基金supported in part by the National Natural Science Foundation of China under Grant No.61931020,U19B2024,62171449,62001483in part by the science and technology innovation Program of Hunan Province under Grant No.2021JJ40690。
文摘Increasing research has focused on semantic communication,the goal of which is to convey accurately the meaning instead of transmitting symbols from the sender to the receiver.In this paper,we design a novel encoding and decoding semantic communication framework,which adopts the semantic information and the contextual correlations between items to optimize the performance of a communication system over various channels.On the sender side,the average semantic loss caused by the wrong detection is defined,and a semantic source encoding strategy is developed to minimize the average semantic loss.To further improve communication reliability,a decoding strategy that utilizes the semantic and the context information to recover messages is proposed in the receiver.Extensive simulation results validate the superior performance of our strategies over state-of-the-art semantic coding and decoding policies on different communication channels.
