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In coding theory, a systematic code is any error-correcting code in which the input data are embedded in the encoded output. Conversely, in a non-systematic code the output does not contain the input symbols.
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systematic code codes symbols non-systematic data linear coding input output source received error-correcting decoding implemented error parity receivers correctly combined
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| synchronization | instance of | for engineering purposes | 0.80 | text |
| monitoring | instance of | for engineering purposes | 0.80 | text |
| it is desirable to get reasonable good estimates of the received source symbols without going through the lengthy decoding process which may be carried out at a remote site at a later time | instance of | for engineering purposes | 0.80 | text |
| sequential decoding or maximum-likelihood decoding | instance of | for certain decoding algorithms | 0.80 | text |
| a non-systematic structure can increase performance in terms of undetected decoding error probability when the minimum free distance of the code is larger.For a systematic linear code | instance of | for certain decoding algorithms | 0.80 | text |
| the generator matrix | instance of | for certain decoding algorithms | 0.80 | text |
| G | instance of | for certain decoding algorithms | 0.80 | text |
| Systematic code | related to Examples | Checksums | 0.60 | section |
| Systematic code | related to Examples | Linear | 0.60 | section |
| Systematic code | related to Examples | Reed-Solomon | 0.60 | section |
| Systematic code | related to Examples | CDs | 0.60 | section |
| Systematic code | related to Examples | Convolutional | 0.60 | section |
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