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- W3136805965 abstract "<p>In this paper a brand new channel error detection and correction method is provided. Artificially adding symbols to the source binary sequence makes the binary sequence present a regularity. The receiver can use this rule to implement error detection and correction. Since many redundant symbols are added, a weighted probability model lossless coding method is proposed in this paper to remove redundant information, and the reasons why Markov chains and conditional probabilities are not feasible are given. It is proven that the method in this paper can reach the channel capacity when the code length approaches infinity. It is shown experimentally that when the code rate is 1/2 in the BIAWGN channel, the method in this paper is superior to the polar code and LDPC code.</p>" @default.
- W3136805965 created "2021-03-29" @default.
- W3136805965 creator A5050582612 @default.
- W3136805965 date "2021-01-22" @default.
- W3136805965 modified "2023-09-26" @default.
- W3136805965 title "Channel Coding of Weighted Probabilistic Model" @default.
- W3136805965 doi "https://doi.org/10.36227/techrxiv.13604738.v1" @default.
- W3136805965 hasPublicationYear "2021" @default.
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