Convolutional Encoder
Encode binary data using convolutional encoding scheme
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Communications Toolbox / Error Detection and Correction / Convolutional
Communications Toolbox HDL Support / Error Detection and Correction / Convolutional
Description
The Convolutional Encoder block encodes the input binary message by using the convolutional encoding scheme specified by a trellis structure. For more information, see Convolutional Coding.
This block can accept inputs that vary in length during simulation. For more information about variable-size signals, see the Variable-Size Signal Basics (Simulink) topic.
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Ports
Input
Output
Parameters
Block Characteristics
More About
References
[1] Clark, George C., and J. Bibb Cain. Error-Correction Coding for Digital Communications. Applications of Communications Theory. New York: Plenum Press, 1981.
[2] Gitlin, Richard D., Jeremiah F. Hayes, and Stephen B. Weinstein. Data Communications Principles. Applications of Communications Theory. New York: Plenum Press, 1992.
[3] Yasuda, Y., K. Kashiki, and Y. Hirata. “High-Rate Punctured Convolutional Codes for Soft Decision Viterbi Decoding.” IEEE Transactions on Communications 32, no. 3 (March 1984): 315–19. https://doi.org/10.1109/TCOM.1984.1096047.
[4] Haccoun, D., and G. Begin. “High-Rate Punctured Convolutional Codes for Viterbi and Sequential Decoding.” IEEE Transactions on Communications 37, no. 11 (November 1989): 1113–25. https://doi.org/10.1109/26.46505.
[5] Begin, G., D. Haccoun, and C. Paquin. “Further Results on High-Rate Punctured Convolutional Codes for Viterbi and Sequential Decoding.” IEEE Transactions on Communications 38, no. 11 (November 1990): 1922–28. https://doi.org/10.1109/26.61470.
Extended Capabilities
Version History
Introduced before R2006a